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<urls><Url Source="../Content/Getting_Started/part1.htm" Title="Getting Started" Abstract="Getting Started This section describes how to install and configure IDOL&#160;Speech Server. " /><Url Source="../Content/Getting_Started/Intro/introduction.htm" Title="Introduction to IDOL&#160;Speech Server" Abstract="Introduction to IDOL&#160;Speech Server This section introduces the IDOL Speech  Autonomy Content Infrastructure (ACI) Server and its functions." /><Url Source="../Content/Getting_Started/Intro/introduction1.htm" Title="IDOL&#160;Speech Server" Abstract="IDOL&#160;Speech Server can perform a variety of speech processing functions, including speech-to-text and language recognition. IDOL&#160;Speech Server processes audio data and passes the extracted data into IDOL Server." /><Url Source="../Content/Shared_Admin/_ADM_OEMcertification.htm" Title="OEM Certification" Abstract="OEM Certification IDOL&#160;Speech Server works in OEM licensed environments. " /><Url Source="../Content/Shared_Admin/_ADM_IDOL_platform.htm" Title=" HPE's IDOL Platform" Abstract="HPE's IDOL Platform At the core of IDOL&#160;Speech Server is  HPE’s Intelligent Data Operating Layer (IDOL)." /><Url Source="../Content/Getting_Started/Intro/Introduction_to_Speech_P.htm" Title="Introduction to Speech Processing" Abstract="Introduction to Speech Processing IDOL&#160;Speech Server encompasses several speech processing functions in a single ACI server. IDOL&#160;Speech Server can perform:" /><Url Source="../Content/Getting_Started/Intro/Speech_to_Text.htm" Title="Speech-to-Text" Abstract="Speech-to-Text Speech-to-text is the process of translating spoken words into text. It is used in many contexts to analyze, search, and process audio content, including:" /><Url Source="../Content/Getting_Started/Intro/Phonetic_Phrase_Search.htm" Title="Phonetic Phrase Search" Abstract="Phonetic Phrase Search Phonetic search is the process of searching for words and phrases by their pronunciation." /><Url Source="../Content/Getting_Started/Intro/Speaker_Identification.htm" Title="Speaker Identification" Abstract="Speaker Identification Speaker identification is the process of identifying a speaker based on their voice characteristics. This is not to be confused with speaker verification or speaker diarization:" /><Url Source="../Content/Getting_Started/Intro/Spoken_Language_Identifi.htm" Title="Spoken Language Identification" Abstract="Spoken Language Identification Spoken language identification is the process of determining which natural language is being spoken. It is not necessary to identify the spoken words in the content to determine the language. IDOL&#160;Speech Server first tries to identify the phonemes in the audio data and then chooses a language that has the closest distribution of phonemes." /><Url Source="../Content/Getting_Started/Intro/Transcript_Alignment.htm" Title="Transcript Alignment" Abstract="Transcript Alignment Transcript alignment assigns time codes to all the words in the transcript for an audio file. The transcript alignment function can process most transcripts even if they contain noise and missing sections, up to a point. The generated time codes are normally accurate to within half a second." /><Url Source="../Content/Getting_Started/Intro/Audio_Fingerprint_Identi.htm" Title="Audio Fingerprint Identification" Abstract="Audio Fingerprint Identification Also known as acoustic fingerprinting, audio fingerprint identification generates a digital summary of an audio sample, to identify it quickly or to locate similar samples in a database. You can use audio fingerprinting to:" /><Url Source="../Content/Getting_Started/Intro/Audio_Security.htm" Title="Audio Security" Abstract="Audio Security Audio security detects and labels segments of audio that contain security-related sounds, including:" /><Url Source="../Content/Getting_Started/Intro/_System_Architecture.htm" Title="IDOL&#160;Speech Server System Architecture" Abstract="IDOL&#160;Speech Server System Architecture IDOL&#160;Speech Server uses the Autonomy Content Infrastructure (ACI) Client API to communicate with custom applications that use HTTP commands to retrieve data. This communication is implemented over HTTP by using Extensible Markup Language (XML), and can adhere to Simple Object Access Protocol (SOAP)." /><Url Source="../Content/Getting_Started/Process_Overview/ConceptOverview.htm" Title="Speech Processing Overview" Abstract="Speech Processing Overview This section describes the concepts behind the IDOL&#160;Speech Server speech processing functions." /><Url Source="../Content/Getting_Started/Process_Overview/Understand_Audio.htm" Title="Understand Audio" Abstract="Understand Audio To get the best results from IDOL&#160;Speech Server, it helps to understand the properties of audio. Most humans cannot detect subtle differences in audio quality. The human brain is excellent at understanding meaning and tends to ignore defects in audio if it can pick out the meaning. Because automatic speech processing technologies use statistical methods, varying attributes and imperfections in the audio alter the patterns computed in the analysis, which can lead to poor results. This can lead to complaints, such as “I can hear the speech well but the speech-to-text output has many errors”. The key to ensuring good results is to avoid imperfections and distortions in the audio." /><Url Source="../Content/Getting_Started/Process_Overview/Audio_Sources_and_Captur.htm" Title="Audio Sources and Capture" Abstract="Audio Sources and Capture IDOL&#160;Speech Server processes both stored and live audio. Audio for processing can be acquired from the following sources:" /><Url Source="../Content/Getting_Started/Process_Overview/Audio_Capture.htm" Title="Audio Capture" Abstract="Audio Capture The positioning of the microphone during audio capture has significant influence on audio quality. A microphone positioned very close to the mouth, such as a headset microphone, picks up speech very clearly but also any other noises in the aural cavity, such as lip smacking. A microphone placed a couple of feet away from the speaker picks up speech that has arrived at the microphone from multiple reflected paths, in addition to the direct path. The quality of these two signals is substantially different, leading to varying speech-to-text success rates." /><Url Source="../Content/Getting_Started/Process_Overview/Clipping.htm" Title="Clipping" Abstract="Clipping Clipping is a form of waveform distortion that occurs when the amplification of a signal is too high to deliver a sample value that can be represented within 16 bits. Clipping has a severe impact on the frequency properties of the audio signal." /><Url Source="../Content/Getting_Started/Process_Overview/Background_Noise.htm" Title="Background Noise" Abstract="Background Noise Background noise, including music, can significantly impact speech processing. The SNR (signal-to-noise ratio) measures how much background noise is present in audio data. Typically, recordings with noticeable background noise can have an SNR as low as 10-15 dB. Good-quality recordings have an SNR above 25 dB." /><Url Source="../Content/Getting_Started/Process_Overview/Audio_Compression.htm" Title="Audio Compression" Abstract="Audio Compression For purposes of efficient storage, media files are often stored in a compressed form. Audio compression often results in a small amount of distortion. The compression algorithms, used in codecs (codec stands for compression–decompression), have been developed over many years to minimize the distortion from a perceptual point of view. In general, when the compression rate increases, so does the distortion. But the newer codecs generally offer less distortion for the same compression rate, compared to the older codecs." /><Url Source="../Content/Getting_Started/Process_Overview/Audio_Sampling_Rate.htm" Title="Audio Sampling Rate" Abstract="Audio Sampling Rate The sampling rate is the rate at which an audio signal is sampled and digitized. In general, the higher the sampling rate, the more information is preserved in the audio signal. This table lists commonly used sampling rates." /><Url Source="../Content/Getting_Started/Process_Overview/Audio_Bandwidth.htm" Title="Audio Bandwidth" Abstract="Audio Bandwidth The bandwidth is a property of the audio signal and represents the frequency up to which the signal holds information. The bandwidth of a signal is often equal to, but never higher than, half the sampling rate (this principle is known as the Nyquist theorem). For example, an audio stream with a sampling rate of 32 kHz has a maximum bandwidth of 16 kHz. The bandwidth can also be lower than half the sampling rate." /><Url Source="../Content/Getting_Started/Process_Overview/Speech_to_Text1.htm" Title="Speech-to-Text" Abstract="Speech-to-Text IDOL&#160;Speech Server’s approach to performing speech-to-text is motivated by an information breakdown point of view of speech. This state-of-the-art approach is used by most leading speech technologists." /><Url Source="../Content/Getting_Started/Process_Overview/Measure_Speech_to_Text_S.htm" Title="Measure Speech-to-Text Success Rates" Abstract="Measure Speech-to-Text Success Rates To measure the success rate of speech-to-text for typical application data, you need:" /><Url Source="../Content/Getting_Started/Process_Overview/Improve_Speech_To_Text_S.htm" Title="Improve Speech-to-Text Success Rates" Abstract="Improve Speech-to-Text Success Rates You can improve the speech-to-text success rate by: " /><Url Source="../Content/Getting_Started/Process_Overview/Language_Models.htm" Title="Language Models" Abstract="Language Models IDOL&#160;Speech Server uses N-gram statistical language models when performing speech-to-text. An N-gram language model works out the probability of particular sub-sequences of words occurring in a longer word sequence (usually a sentence). The language model is estimated from text that represents the spoken or natural language." /><Url Source="../Content/Getting_Started/Process_Overview/Acoustic_Models.htm" Title="Acoustic Models" Abstract="Acoustic Models Audio quality is affected by many factors, including the properties and position of the audio capture device, channel distortions (in the case of phone calls), and speaker population factors, such as dialect, accent, and timbre. When the recognized words poorly resemble the spoken words, it usually indicates that the acoustic models are a poor match for the audio data being processed." /><Url Source="../Content/Getting_Started/Process_Overview/Phonetic_Phrase_Search1.htm" Title="Phonetic Phrase Search" Abstract="Phonetic Phrase Search Phonetic phrase search is a fast and approximate method for finding sections in audio data that sound similar to the phrase being searched for. Typically, phonetic phrase searches can run many times faster than performing speech-to-text and then searching the transcript." /><Url Source="../Content/Getting_Started/Process_Overview/Speaker_Identification1.htm" Title="Speaker Identification" Abstract="Speaker Identification IDOL&#160;Speech Server can perform speaker identification, as well as providing some processing toward speaker diarization. It does not perform speaker verification." /><Url Source="../Content/Getting_Started/Process_Overview/Spoken_Language_Identifi1.htm" Title="Spoken Language Identification" Abstract="Spoken Language Identification IDOL&#160;Speech Server can analyze audio data for numerous languages across the world. IDOL&#160;Speech Server contains a universal phoneme decoder that detects a wide range of phonemes across multiple languages. After IDOL&#160;Speech Server extracts phoneme information from an audio file, it performs a statistical analysis on the general distribution of the phonemes to estimate the identity of the spoken language." /><Url Source="../Content/Getting_Started/Process_Overview/Audio_Fingerprint_Identi1.htm" Title="Audio Fingerprint Identification" Abstract="Audio Fingerprint Identification Audio fingerprint identification offers a robust method for identifying complete or partial portions of audio that are exact or slightly degraded copies of a known audio track." /><Url Source="../Content/Getting_Started/Process_Overview/Transcript_Alignment1.htm" Title="Transcript Alignment" Abstract="Transcript Alignment When a text transcript corresponding to an audio file is available, transcript alignment can match the two files and generate the time positions of each word in a final transcript. The text transcript does not have to match the audio file exactly." /><Url Source="../Content/Getting_Started/Process_Overview/Transcript_Language_Mode.htm" Title="Transcript Language Models" Abstract="Transcript Language Models Transcript language models are language models that are built using the exact or approximate audio transcripts that are to be processed, and therefore contain all the vocabulary used in the audio. Furthermore, the word probabilities are also heavily biased to produce the same word sequences present in the transcripts. Often the result is a very accurate speech-to-text output." /><Url Source="../Content/Getting_Started/Install/Installation.htm" Title="Install IDOL&#160;Speech Server" Abstract="Install IDOL&#160;Speech Server This section describes the software and hardware requirements and installation instructions for IDOL&#160;Speech Server." /><Url Source="../Content/Getting_Started/Install/System_Requirements.htm" Title="System Requirements" Abstract="System Requirements This section describes the software and hardware requirements to run IDOL&#160;Speech Server." /><Url Source="../Content/Getting_Started/Install/Supported_Operating_Syst.htm" Title="Supported Operating Systems" Abstract="Supported Operating Systems IDOL&#160;Speech Server runs on the following operating systems. " /><Url Source="../Content/Getting_Started/Install/Anti_Virus_Recommendatio.htm" Title="Antivirus Recommendations" Abstract="Antivirus Recommendations If you are running antivirus software on the IDOL&#160;Speech Server host machine, you must ensure for performance reasons that it does not monitor the IDOL&#160;Speech Server directories." /><Url Source="../Content/Getting_Started/Install/Recommended_Hardware_Spe.htm" Title="Recommended Hardware Specifications" Abstract="Recommended Hardware Specifications HPE recommends that you have no more than one IDOL&#160;Speech Server for each machine, and that you use the following machine specifications:" /><Url Source="../Content/Getting_Started/Install/Install_SS.htm" Title="Install IDOL&#160;Speech Server" Abstract="Install IDOL&#160;Speech Server To install IDOL&#160;Speech Server, use either the IDOL Server installer, which contains IDOL&#160;Speech Server as a component, or the IDOL&#160;Speech Server standalone zip package." /><Url Source="../Content/Shared_Admin/Installation/_ADM_Install_Windows.htm" Title="Install IDOL&#160;Speech Server on Windows" Abstract="Install IDOL&#160;Speech Server on Windows Use the following procedure to install IDOL&#160;Speech Server on Microsoft Windows operating systems, by using the IDOL&#160;Server installer." /><Url Source="../Content/Shared_Admin/Installation/_ADM_Install_UNIX.htm" Title="Install IDOL&#160;Speech Server on UNIX" Abstract="Install IDOL&#160;Speech Server on UNIX Use the following procedure to install IDOL&#160;Speech Server in text mode on UNIX platforms." /><Url Source="../Content/Getting_Started/Install/Install_Service.htm" Title="Install IDOL&#160;Speech Server as a Windows Service" Abstract="Install IDOL&#160;Speech Server as a Windows Service If you are installing Speech Server on a Windows platform, you can manually install it as a Windows service from the command line." /><Url Source="../Content/Shared_Admin/Licenses/_ADM_Licenses.htm" Title="Licenses" Abstract="Licenses To use  HPE IDOL solutions, you must have a running  HPE License Server, and a valid license key file for the products that you want to use. Contact  HPE Big Data Support to request a license file for your installation." /><Url Source="../Content/Shared_Admin/Licenses/_ADM_Display_License.htm" Title="Display License Information" Abstract="Display License Information You can verify which modules you have licensed either by using the IDOL Admin interface, or by sending the LicenseInfo action from a web browser." /><Url Source="../Content/Shared_Admin/Licenses/_ADM_LicenseServerHostPort.htm" Title="Configure the License Server Host and Port" Abstract="Configure the License Server Host and Port IDOL&#160;Speech Server is licensed through  HPE License Server. In the IDOL&#160;Speech Server configuration file, specify the information required to connect to the License Server." /><Url Source="../Content/Shared_Admin/Licenses/_ADM_Revoke_License.htm" Title="Revoke a Client License" Abstract="Revoke a Client License After you set up licensing, you can revoke licenses at any time, for example, if you want to change the client configuration or reallocate the license. The following procedure revokes the license from a component." /><Url Source="../Content/Shared_Admin/Licenses/_ADM_License_Errors.htm" Title="Troubleshoot License Errors" Abstract="Troubleshoot License Errors The table contains explanations for typical licensing-related error messages." /><Url Source="../Content/Getting_Started/Install/Supported_Resources.htm" Title="Supported Resources" Abstract="Supported Resources IDOL&#160;Speech Server requires supporting files, which are available in packs for different languages and operations. After you complete the installation process, download the relevant packs from the  HPE Download Center and save them to the language pack root directory." /><Url Source="../Content/Getting_Started/Install/Resource_Packs.htm" Title="Resource Packs" Abstract="Resource Packs The following resource packs are available for IDOL&#160;Speech Server operations. " /><Url Source="../Content/Getting_Started/Install/Sentence Breaking Plug-in.htm" Title="Sentence Breaking Plug-In" Abstract="Sentence Breaking Plug-In IDOL&#160;Speech Server supports the Basis Sentence Breaking plug-in, which is available from the  HPE Download Center. The plug-in enables IDOL&#160;Speech Server to perform text segmentation on Japanese, Korean, Mandarin, and Taiwanese Mandarin languages. Text segmentation inserts whitespace between words." /><Url Source="../Content/Getting_Started/Configure/Configuration.htm" Title="Configure IDOL&#160;Speech Server" Abstract="Configure IDOL&#160;Speech Server This section describes how to configure IDOL&#160;Speech Server. " /><Url Source="../Content/Getting_Started/Configure/_Configuration_File.htm" Title="IDOL&#160;Speech Server Configuration Files" Abstract="IDOL&#160;Speech Server Configuration Files IDOL&#160;Speech Server uses two configuration files: Both configuration files are stored in the IDOL&#160;Speech Server installation directory. On Windows, the default directory is C:\Program Files\HewlettPackardEnterprise\IDOLSpeech. You can move the speechserver-tasks.cfg file to another location, but you must update the directory that is specified by the TaskConfigs parameter in the speechserver.cfg file. For more information about this parameter, see the IDOL&#160;Speech Server Reference." /><Url Source="../Content/Shared_Admin/_ADM_Enter_config_params.htm" Title="Modify Configuration Parameter Values" Abstract="Modify Configuration Parameter Values You modify IDOL&#160;Speech Server configuration parameters by directly editing the parameters in the configuration file. When you set configuration parameter values, you must use UTF-8." /><Url Source="../Content/Getting_Started/Configure/Configuration_File_Secti.htm" Title="Configuration File Sections" Abstract="Configuration File Sections The IDOL&#160;Speech Server configuration file (speechserver.cfg) contains the following sections representing configurable areas." /><Url Source="../Content/Getting_Started/Configure/Taskscfg_sections.htm" Title="Tasks Configuration File Sections" Abstract="Tasks Configuration File Sections The IDOL&#160;Speech Server tasks configuration file (speechserver-tasks.cfg) contains the following sections." /><Url Source="../Content/Getting_Started/Configure/Configure_Language_Packs.htm" Title="Configure Language Packs" Abstract="Configure Language Packs IDOL&#160;Speech Server can use language models for several languages at a time. The number of languages that you can configure depends on your license. You must configure each language in the [Resources] section of the tasks configuration file." /><Url Source="../Content/Getting_Started/Configure/Configure_Task_Queues.htm" Title="Configure Task Queues" Abstract="Configure Task Queues By default, IDOL&#160;Speech Server refuses tasks if the active task count or active language pack count are at their maximum configured values. This behavior can be desirable if a task requires immediate processing, such as live audio streaming. It is also useful if several IDOL&#160;Speech Server instances are running, so that tasks can be resubmitted to an available server. However, if you process many audio files on a single server, you can queue the tasks until resources become available." /><Url Source="../Content/Shared_Admin/_ADM_Include_Config.htm" Title="Include an External Configuration File" Abstract="Include an External Configuration File You can share configuration sections or parameters between ACI&#160;server configuration files. The following sections describe different ways to include content from an external configuration file." /><Url Source="../Content/Shared_Admin/_ADM_Set_Up_Log_Streams.htm" Title="Customize Logging" Abstract="Customize Logging You can customize logging by setting up your own log streams. Each log stream creates a separate log file in which specific log message types (for example, action, index, application, or import) are logged." /><Url Source="../Content/Getting_Started/Configure/_Logs_and_Error_Reports.htm" Title="IDOL&#160;Speech Server Logs and Error Reports" Abstract="IDOL&#160;Speech Server Logs and Error Reports In addition to the standard logging incorporated into all  HPE ACI servers, IDOL&#160;Speech Server logs:" /><Url Source="../Content/Shared_Admin/EventHandlers/_ADM_Event_Handlers.htm" Title="Event Handlers" Abstract="Event Handlers Some of the actions that you can send to IDOL&#160;Speech Server are asynchronous. Asynchronous actions do not run immediately, but are added to a queue. This means that the person or application that sends the action does not receive an immediate response. However, you can configure IDOL&#160;Speech Server to call an event handler when an asynchronous action starts, finishes, or encounters an error." /><Url Source="../Content/Shared_Admin/EventHandlers/_ADM_Configure_Event_Handlers.htm" Title="Configure an Event Handler" Abstract="Configure an Event Handler Use the following procedure to configure an event handler. To configure an event handler" /><Url Source="../Content/Getting_Started/Configure/Config_Input_Output_Dir.htm" Title="Configure Input and Output Directories" Abstract="Configure Input and Output Directories By default, IDOL&#160;Speech Server can read from and write to any directory. However, for increased security you can specify a set of allowed directories to restrict access to the file system." /><Url Source="../Content/Shared_Admin/_ADM_XSLTemplates.htm" Title="Use XSL Templates to Transform Action Responses" Abstract="Use XSL Templates to Transform Action Responses You can transform the action responses returned by IDOL&#160;Speech Server using XSL templates. You must write your own XSL templates and save them with either an .xsl or .tmpl file extension. For more information about XSL, see http://www.w3.org/TR/xslt." /><Url Source="../Content/Getting_Started/Run/Operation.htm" Title="Run IDOL&#160;Speech Server" Abstract="Run IDOL&#160;Speech Server This chapter describes how to start and stop IDOL&#160;Speech Server, and how to send actions and tasks." /><Url Source="../Content/Getting_Started/Run/Start_and_Stop_.htm" Title="Start and Stop IDOL&#160;Speech Server" Abstract="Start and Stop IDOL&#160;Speech Server The following sections describe how to start and stop IDOL&#160;Speech Server." /><Url Source="../Content/Getting_Started/Run/Start_.htm" Title="Start IDOL&#160;Speech Server" Abstract="Start IDOL&#160;Speech Server Use the following procedure to start IDOL&#160;Speech Server. To start the License Server Service from a system dialog box" /><Url Source="../Content/Getting_Started/Run/Stop_.htm" Title="Stop IDOL&#160;Speech Server" Abstract="Stop IDOL&#160;Speech Server Use one of the following procedures to stop IDOL&#160;Speech Server. " /><Url Source="../Content/Shared_Admin/_ADM_send_actions.htm" Title="Send Actions to IDOL&#160;Speech Server" Abstract="Send Actions to IDOL&#160;Speech Server IDOL&#160;Speech Server actions are HTTP&#160;requests, which you can send, for example, from your web browser.  The general syntax of these actions is:" /><Url Source="../Content/Getting_Started/Run/Verify__Runs_Correctly.htm" Title="Verify IDOL&#160;Speech Server Runs Correctly" Abstract="Verify IDOL&#160;Speech Server Runs Correctly After you install IDOL&#160;Speech Server, you can run the following actions to verify that IDOL&#160;Speech Server runs correctly." /><Url Source="../Content/Getting_Started/Run/GetRequestLog.htm" Title="GetRequestLog" Abstract="GetRequestLog Send a GetRequestLog action to IDOL&#160;Speech Server to return a log of the requests that have been made to it, including the following information:" /><Url Source="../Content/Getting_Started/Run/GetLicenseInfo.htm" Title="GetLicenseInfo" Abstract="GetLicenseInfo Send a GetLicenseInfo action to IDOL&#160;Speech Server to return information about your license. This action checks whether your license is valid and identifies the IDOL&#160;Speech Server operations your license includes." /><Url Source="../Content/Getting_Started/Run/GetLicenseCounts.htm" Title="GetLicenseCounts&#xA;        " Abstract="GetLicenseCounts Send a GetLicenseCounts action to IDOL&#160;Speech Server to view information on modules and resources, in addition to the general information on licensed actions returned by the GetLicenseInfo action." /><Url Source="../Content/Getting_Started/Run/GetStatus.htm" Title="GetStatus" Abstract="GetStatus Use the GetStatus action to verify that the IDOL&#160;Speech Server service is running. For information on the GetStatus action, see the IDOL&#160;Speech Server Reference." /><Url Source="../Content/Shared_Admin/_ADM_Display_Help.htm" Title="Display Online Help" Abstract="Display Online Help You can display the IDOL&#160;Speech Server Reference by sending an action from your web browser. The IDOL&#160;Speech Server Reference describes the actions and configuration parameters that you can use with IDOL&#160;Speech Server." /><Url Source="../Content/Getting_Started/Run/Audio_Requirements.htm" Title="Audio Requirements" Abstract="Audio Requirements The following audio requirements apply to all tasks that accept audio input. " /><Url Source="../Content/Getting_Started/Run/Audio_and_Video_Files.htm" Title="Audio and Video Files" Abstract="Audio and Video Files If you set the FFmpegDirectory parameter in the configuration file, IDOL&#160;Speech Server accepts several audio and video file types, such as MP3, MP4, WMA, WMV, MOV, and so on. For a complete list of accepted file formats, see the FFmpeg documentation." /><Url Source="../Content/Getting_Started/Run/Streamed_Audio.htm" Title="Streamed Audio" Abstract="Streamed Audio Streamed audio must meet the following requirements for use in IDOL&#160;Speech Server: There are several third-party tools that you can use to convert audio into the required format." /><Url Source="../Content/Getting_Started/Run/Start_and_Stop_Tasks.htm" Title="Start and Stop Tasks" Abstract="Start and Stop Tasks Tasks are defined in the IDOL&#160;Speech Server configuration file. The [TaskTypes] configuration section defines a list of all the available tasks. Individual task configuration sections define operations for each task to perform." /><Url Source="../Content/Getting_Started/Run/Start_a_Task.htm" Title="Start a Task" Abstract="Start a Task To create a task, send an AddTask ACI action to your IDOL&#160;Speech Server host and ACI port." /><Url Source="../Content/Getting_Started/Run/Check_the_Status_of_a_Ta.htm" Title="Check the Status of a Task" Abstract="Check the Status of a Task To check the status of a task, send a GetStatus action. http://host:port/action=GetStatus&amp;Token=token" /><Url Source="../Content/Getting_Started/Run/End_a_Task.htm" Title="End a Task" Abstract="End a Task To end a specified task, send an AbortTask action. http://host:port/action=AbortTask&amp;Token=token" /><Url Source="../Content/Getting_Started/Run/Queue_Tasks.htm" Title="Queue Tasks" Abstract="Queue Tasks By default, IDOL&#160;Speech Server refuses tasks if the resources are not available. However, you can enable queuing so that tasks are added to a queue and processed when the resources become available." /><Url Source="../Content/Getting_Started/Run/Standard_Tasks.htm" Title="Standard Tasks" Abstract="Standard Tasks This table describes the standard tasks that are already defined in the tasks configuration file. You can run any of these tasks straight out of the box." /><Url Source="../Content/Getting_Started/Run/Display_AllTasks.htm" Title="Display Configured Tasks" Abstract="Display Configured Tasks When IDOL&#160;Speech Server is running, you can use the ListTasks action to retrieve a list of all tasks that are set up in the configuration file." /><Url Source="../Content/Getting_Started/Run/Display_TaskDetails.htm" Title="Display Task Details" Abstract="Display Task Details To retrieve information about a particular task, including the task schema and available parameters, send a TaskHelp action to IDOL&#160;Speech Server." /><Url Source="../Content/Getting_Started/Run/Display_Resources.htm" Title="Display Configured Resources" Abstract="Display Configured Resources Use the following procedure to display details of all resources that are configured and available for use in tasks." /><Url Source="../Content/Getting_Started/Run/Check_Available_Resource.htm" Title="Check Available Resources" Abstract="Check Available Resources You can verify whether IDOL&#160;Speech Server has all the necessary resources for a task before you start the task. For example, if you run multiple installations of IDOL&#160;Speech Server, you can use the CheckResources action to check which one can best process a task." /><Url Source="../Content/Getting_Started/Run/Find_Recommended_Languag.htm" Title="Find Recommended Language Resources to Use in a Task" Abstract="Find Recommended Language Resources to Use in a Task IDOL&#160;Speech Server can recommend language packs to use with a particular audio file, if provided with the file and a language code. This is helpful if multiple languages are defined for a single language code, or if you are not sure whether to use a broadband or telephony pack." /><Url Source="../Content/Getting_Started/Run/Get_Task_Results.htm" Title="Get Task Results" Abstract="Get Task Results Use the following procedure to retrieve task results from IDOL&#160;Speech Server. For example:" /><Url Source="../Content/Getting_Started/Run/Continuation_Tokens.htm" Title="Continuation Tokens" Abstract="Continuation Tokens When you retrieve results in stt, lid, or lib format, the server response includes the &lt;continueToken&gt; XML tag." /><Url Source="../Content/Getting_Started/Run/Delete_Temporary_Files.htm" Title="Delete Output Files" Abstract="Delete Output Files Speech Server generates different types of output files (for example, diagnostics files, language model files, acoustic model files, and so on). You can delete these output files in several ways." /><Url Source="../Content/Getting_Started/Run/Lists.htm" Title="Create and Manage Lists" Abstract="Create and Manage Lists Many IDOL&#160;Speech Server tasks require you to send an action that includes a list of words or files. For example, the LanguageModelBuild task requires a list of training text files. IDOL&#160;Speech Server has a list manager that allows you to easily create and manage lists." /><Url Source="../Content/Getting_Started/Run/Backup_Restore.htm" Title="Back Up and Restore IDOL&#160;Speech Server" Abstract="Back Up and Restore IDOL&#160;Speech Server You can create a backup of the IDOL&#160;Speech Server that you can use to restore the server's state." /><Url Source="../Content/Getting_Started/Run/Troubleshooting.htm" Title="Troubleshooting" Abstract="Troubleshooting IDOL&#160;Speech Server creates log files, which often contain information useful for debugging. In the event of any problem, first check the log files." /><Url Source="../Content/Operations/part2.htm" Title="IDOL&#160;Speech Server Operations" Abstract="IDOL&#160;Speech Server Operations This section describes how to perform IDOL&#160;Speech Server operations. " /><Url Source="../Content/Operations/ManageLangPacksResources/ManageLangPacks.htm" Title="Manage Language Packs and Other Resources" Abstract="Manage Language Packs and Other Resources This section describes how to load, unload, and manage language packs and other shared resources that you need for your Speech Server tasks." /><Url Source="../Content/Operations/ManageLangPacksResources/Overview1.htm" Title="Overview" Abstract="Overview Some tasks in Speech Server require you to load a shared resource. A&#160;single instance of a shared resource in memory can be used simultaneously by one or more tasks." /><Url Source="../Content/Operations/ManageLangPacksResources/LoadLangResources.htm" Title="Load Language Resources" Abstract="Load Language Resources You can manually load a resource before you start a task. If the resource is not loaded when the task starts, the task automatically loads the resource." /><Url Source="../Content/Operations/ManageLangPacksResources/UnloadLangResources.htm" Title="Unload Language Resources&#xA;        " Abstract="Unload Language Resources The way in which Speech Server handles resources depends on whether the resource is manually or automatically loaded. For example, if you load a resource manually, it remains in memory until you explicitly unload it. By contrast, if a language pack is loaded automatically when the task that requires that resource starts, the resource might be automatically unloaded after it is no longer needed." /><Url Source="../Content/Operations/ManageLangPacksResources/MonitorResourceUsage.htm" Title="Monitor Resource Usage" Abstract="Monitor Resource Usage To view information on any minimum and maximum limits placed on loaded resources, send the GetStatus action and check the information in the &lt;resources&gt; section of the response." /><Url Source="../Content/Operations/SpeechToText/SpeechToText.htm" Title="Speech-to-Text" Abstract="Speech-to-Text This section describes how to use IDOL&#160;Speech Server to perform speech-to-text. " /><Url Source="../Content/Operations/SpeechToText/Prepare_the_Audio.htm" Title="Prepare the Audio" Abstract="Prepare the Audio IDOL&#160;Speech Server accepts most media files. However, this does not apply: In these cases, you must supply the audio as either 8 kHz or 16 kHz, mono or stereo 16-bit linear, little-endian PCM data. For details of the audio quality requirements, see Audio Quality Guidelines." /><Url Source="../Content/Operations/SpeechToText/Select_the_Language_Pack.htm" Title="Select the Language Pack" Abstract="Select the Language Pack For maximum speech-to-text accuracy, you must choose the correct language pack. Select the pack based on the language and sampling rate of the audio. For the complete list of available language packs, see Available language packs." /><Url Source="../Content/Operations/SpeechToText/Run_the_Task.htm" Title="Run the Task" Abstract="Run the Task IDOL&#160;Speech Server provides five preconfigured speech-to-text tasks: For example: http://localhost:13000/action=AddTask&amp;Type=WavToText&amp;File=C:/myData/Speech.wav&amp;Out=SpeechTranscript.ctm&amp;Lang=ENUS" /><Url Source="../Content/Operations/SpeechToText/Interpret_the_Results.htm" Title="Interpret the Results" Abstract="Interpret the Results IDOL&#160;Speech Server supports two speech-to-text output formats: the CTM format and the XML format." /><Url Source="../Content/Operations/SpeechToText/CTM_Transcript_Output.htm" Title="CTM Transcript Output" Abstract="CTM Transcript Output This is a sample of the transcript text in a .ctm file: 1   A   5.830   0.210   we'll     0.480&#xA;1   A   6.040   0.530   continue  0.294&#xA;1   A   6.570   0.080   on        0.221&#xA;1   A   6.650   0.340   money     0.362&#xA;1   A   6.990   0.480   matters   0.560&#xA;1   A   7.470   0.050   &lt;SIL&gt;     0.258" /><Url Source="../Content/Operations/SpeechToText/XML_Transcript_Output.htm" Title="XML Transcript Output" Abstract="XML Transcript Output To view the output of a speech-to-text transcription file in XML format, send a GetResults action. The contents of the .ctm output file return in a series of XML tags. For example:" /><Url Source="../Content/Operations/SpeechToText/Pauses_Recognition_Output.htm" Title="Pauses in Recognition Output&#xA;        " Abstract="Pauses in Recognition Output When looking at word output data, the two symbols &lt;SIL&gt; and &lt;s&gt; sometimes appear. These acoustically represent periods of audio without speech, such as silence or background noise. In the former case (&lt;SIL&gt;), the recognition process decides this 'silence' probably has no linguistic role. In the latter case (&lt;s&gt;), the recognition process decides it is more likely to end a chain of words and start anew at this point. This is analogous to starting a new sentence, but is only a weak analogy since the decision is made only with local context words." /><Url Source="../Content/Operations/SpeechToText/UseLattice.htm" Title="Use a Lattice File&#xA;        " Abstract="Use a Lattice File You can record details of word hypotheses that were considered during recognition, not simply the best scoring hypothesis, in a lattice file. You can then search for occurrences of specific words in the lattice to aid recall. In addition, you can restrict the lattice to instances of particular words." /><Url Source="../Content/Operations/SpeechToText/Control_Process_Speed.htm" Title="Control Speech-to-Text Process Speed" Abstract="Control Speech-to-Text Process Speed Speech-to-text can run in one of two primary modes–fixed and relative." /><Url Source="../Content/Operations/SpeechToText/Enable_Word_Confidence_S.htm" Title="Enable Word Confidence Scores" Abstract="Enable Word Confidence Scores The speech-to-text engine can also generate word confidence scores. A word confidence score represents how acoustically similar the recognized word in the audio is to IDOL&#160;Speech Server’s acoustic model of the word. Word confidence scores do not indicate whether the word has been correctly recognized, because there are many words in any spoken language that sound very similar to each other. However, there is a general correlation between confidence scores and recognition rates." /><Url Source="../Content/Operations/SpeechToText/Tune_Parameters.htm" Title="Tune Parameters" Abstract="Tune Parameters You can set additional parameters in the tasks configuration file to improve the performance of speech-to-text." /><Url Source="../Content/Operations/SpeechToText/Use_a_Custom_Language_Mo.htm" Title="Use a Custom Language Model" Abstract="Use a Custom Language Model Using a custom language model can substantially improve speech-to-text rates, if the model represents the speech data very accurately." /><Url Source="../Content/Operations/SpeechToText/Use_an_Adapted_Acoustic_.htm" Title="Use an Adapted Acoustic Model" Abstract="Use an Adapted Acoustic Model Using an adapted acoustic model can substantially improve speech-to-text rates, if the model represents the acoustic properties of the speech data very accurately." /><Url Source="../Content/Operations/SpeechToText/Troubleshooting1.htm" Title="Troubleshooting" Abstract="Troubleshooting IDOL&#160;Speech Server returns error messages if it encounters problems responding to actions." /><Url Source="../Content/Operations/SpeechToText/Generate_Diagnostics.htm" Title="Generate Diagnostics" Abstract="Generate Diagnostics The speech-to-text tasks can also generate diagnostic information. Generate diagnostic information before you contact customer support, to help them to solve issues more quickly." /><Url Source="../Content/Operations/SpeechToText/Score_Speech_Recognition.htm" Title="Score Speech Recognition" Abstract="Score Speech Recognition This section describes how to score speech-to-text results against a truth transcript." /><Url Source="../Content/Operations/SpeechToText/Prepare_the_Truth_Transc.htm" Title="Prepare the Truth Transcript Text" Abstract="Prepare the Truth Transcript Text To prepare the truth transcript, you must use the TextNorm task to normalize the text. Normalization ensures that the speech-to-text transcript and the truth transcript text are comparable, avoiding situations such as the speech-to-text transcript containing “three” while the truth transcript contains “3”." /><Url Source="../Content/Operations/SpeechToText/Run_the_Scorer.htm" Title="Run the Scorer" Abstract="Run the Scorer The scorer first compares the speech-to-text transcript with the truth transcript to align the two. Then, it counts the number of words that are matched, as well as those that are mismatched in the alignment." /><Url Source="../Content/Operations/SpeechToText/Format_of_Scorer_Results.htm" Title="Format of Scorer Results" Abstract="Format of Scorer Results By default, the returned score file contains the following sections: To return the Summary section only, you can either:" /><Url Source="../Content/Operations/SpeechToText/Common_Problems_Related_.htm" Title="Common Problems Related to Scoring Outputs" Abstract="Common Problems Related to Scoring Outputs The common problems that can reduce the performance of transcript alignment are:" /><Url Source="../Content/Operations/CustomLangModels/UseLanguagePacks.htm" Title="Create Custom Language Models" Abstract="Create Custom Language Models This section describes the case for building custom language models, and provides instructions for how to do so." /><Url Source="../Content/Operations/CustomLangModels/Overview.htm" Title="Overview" Abstract="Overview IDOL&#160;Speech Server requires language packs to perform speech processing tasks. Several language packs are available (see Supported Resources). A language pack contains a language model and an acoustic model. The key components of the language model are:" /><Url Source="../Content/Operations/CustomLangModels/Standard_and_Custom_Lang.htm" Title="Standard and Custom Language Models" Abstract="Standard and Custom Language Models Before you run a speech processing operation, you must decide whether to use a standard language model or a custom model. This table summarizes the main features of both types of language model." /><Url Source="../Content/Operations/CustomLangModels/Calculate_Perplexity.htm" Title="Calculate Perplexity" Abstract="Calculate Perplexity Perplexity is a metric used in the language modeling. It indicates the average branching factor for a typical language." /><Url Source="../Content/Operations/CustomLangModels/Format_of_Perplexity_Res.htm" Title="Format of Perplexity Results" Abstract="Format of Perplexity Results The perplexity task log file contains the following information: The log file also lists all the OOV words, sorted by number of occurrences in the text and then alphabetically. Each word is listed alongside its number of occurrences." /><Url Source="../Content/Operations/CustomLangModels/Look_Up_Vocabulary.htm" Title="Look Up Vocabulary" Abstract="Look Up Vocabulary IDOL&#160;Speech Server can list the 30,000 most frequent words in a specific language model." /><Url Source="../Content/Operations/CustomLangModels/Look_Up_Pronunciation.htm" Title="Look Up Pronunciations" Abstract="Look Up Pronunciations If you are unsure as to whether a particular word exists in a language pack with the right pronunciation,  IDOL&#160;Speech Server can list the pronunciations for a specific word in the pronunciation dictionary file." /><Url Source="../Content/Operations/CustomLangModels/Training_Text_for_Custom.htm" Title="Training Text for Custom Language Models" Abstract="Training Text for Custom Language Models To produce an effective custom language model, you must build it using text that resembles the data that you want to process. For example, if you intend to apply the speech-to-text task to news monitoring, you would train the language model using recent news articles gathered from a wide range of sources." /><Url Source="../Content/Operations/CustomLangModels/Select_Appropriate_Text.htm" Title="Select Appropriate Text" Abstract="Select Appropriate Text The type of training text that you can use in building a custom language model depends on the data that you want to process. Examples of relevant text include:" /><Url Source="../Content/Operations/CustomLangModels/Prepare_Text.htm" Title="Prepare Text" Abstract="Prepare Text It is important to ensure that the text used for custom language model building is cleaned up to a reasonable level." /><Url Source="../Content/Operations/CustomLangModels/Build_the_Language_Model.htm" Title="Build the Language Model" Abstract="Build the Language Model After you have selected and prepared the training text files, you can build the custom language model." /><Url Source="../Content/Operations/CustomLangModels/Evaluate_the_Custom_Lang.htm" Title="Evaluate the Custom Language Model" Abstract="Evaluate the Custom Language Model You can check whether the custom language model improves the accuracy of the speech-to-text over the standard language model. The best method is to compare the speech-to-text results when you use the custom language model with the results when you use the standard language model alone. You can use such a comparison iteratively to better select the training text, as well as the custom language model. For more information, see Score Speech Recognition." /><Url Source="../Content/Operations/CustomLangModels/Troubleshooting2.htm" Title="Troubleshooting" Abstract="Troubleshooting If you receive errors associated with actions (for example, incorrect parameters), see the individual parameters in the IDOL&#160;Speech Server Reference for the correct usage." /><Url Source="../Content/Operations/NormalizeText/NormalizeText.htm" Title="Normalize Text" Abstract="Normalize Text This section describes how to normalize text, which is a preprocessing requirement for several speech processing operations." /><Url Source="../Content/Operations/NormalizeText/Overview1.htm" Title="Overview" Abstract="Overview All text materials must be normalized before any processing by IDOL&#160;Speech Server. The text normalizer prepares the data in a consistent form so that words with the same meaning (for example, “two” and “2”) are treated as being the same." /><Url Source="../Content/Operations/NormalizeText/Supported_Languages.htm" Title="Supported Languages" Abstract="Supported Languages IDOL&#160;Speech Server can normalize text in the following languages. For Japanese, Korean, Mandarin, and Taiwanese Mandarin languages, you must use the  SegmentText task to segment the text before you submit it for normalization (see Segment Text)." /><Url Source="../Content/Operations/NormalizeText/SegmentText.htm" Title="Segment Text" Abstract="Segment Text Japanese, Korean, Mandarin, and Taiwanese Mandarin languages do not separate words with whitespace. You must segment text in these languages into words before IDOL&#160;Speech Server can process them." /><Url Source="../Content/Operations/NormalizeText/Metadata_Tag_Syntax.htm" Title="Metadata Tag Syntax" Abstract="Metadata Tag Syntax IDOL&#160;Speech Server allows you to add extra information into a transcript, which it then marks with a metadata tag in the processed transcript, enabling you to easily find it. The extra information does not affect transcription alignment. For example, you might want to mark the point in a lecture transcript where a video was played. You could add the following to the transcript:" /><Url Source="../Content/Operations/NormalizeText/Run_Text_Normalization.htm" Title="Run Text Normalization" Abstract="Run Text Normalization To normalize text, complete the following steps. For example: http://localhost:13000/action=AddTask&amp;Type=TextNorm&amp;File=C:/myData/Speech.txt&amp;Out=SpeechNorm.ctm&amp;Lang=ENUS" /><Url Source="../Content/Operations/NormalizeText/Troubleshooting3.htm" Title="Troubleshooting" Abstract="Troubleshooting If you receive errors associated with actions (for example, incorrect parameters), see the individual parameters in the IDOL&#160;Speech Server Reference for the correct usage." /><Url Source="../Content/Operations/AlignTranscripts/TranscriptAlignment.htm" Title="Align Transcripts" Abstract="Align Transcripts This section describes how to align transcripts with the corresponding audio, and how to add time locations for each word in the transcript." /><Url Source="../Content/Operations/AlignTranscripts/Overview2.htm" Title="Overview" Abstract="Overview If a transcript is available for an audio recording, you can use the TranscriptAlign task to place the time location for each word in the transcript. Use this task to align subtitles to audio or video files." /><Url Source="../Content/Operations/AlignTranscripts/Common_Problems.htm" Title="Common Problems" Abstract="Common Problems Common problems that can reduce the performance of transcript alignment are: The transcript aligner can cope well if the erroneous sections are not too large. However, if there are too many errors, alignment fails. In this situation,  HPE recommends that you use the TranscriptCheck task (see Check Transcript Data)." /><Url Source="../Content/Operations/AlignTranscripts/Run_Speech_To_Text.htm" Title="Run Speech-to-Text" Abstract="Run Speech-to-Text The first step in transcript alignment is to generate a speech-to-text transcript. IDOL&#160;Speech Server then compares the original transcript with the speech-to-text transcript. For best results, run the speech-to-text task using a transcript language model with a suitable interpolation weight. The suggested range of weighting is between 0.5 and 0.9. Use the higher value if the transcripts are almost exact." /><Url Source="../Content/Operations/AlignTranscripts/Normalize_the_Transcript.htm" Title="Normalize the Transcript" Abstract="Normalize the Transcript To normalize the original transcript text, use the TextNorm task. The normalized file must contain only one word on each line. Before you send the TextNorm action, set the WordPerLine parameter to True in the [TextNorm] section of the tasks configuration file." /><Url Source="../Content/Operations/AlignTranscripts/Check_Transcript_Data.htm" Title="Check Transcript Data" Abstract="Check Transcript Data After you have normalized the transcript text, you can check the transcript for any large, mismatched sections." /><Url Source="../Content/Operations/AlignTranscripts/Format_of_Diagnostic_Fil.htm" Title="Format of Diagnostic File" Abstract="Format of Diagnostic File The diagnostic file has a five column format. For example: If a column contains an asterisk (*), the text was not found in either the original transcript or the speech-to-text transcript. Many rows with low values in the fifth column indicates a problem." /><Url Source="../Content/Operations/AlignTranscripts/Align_the_Transcript.htm" Title="Align the Transcript" Abstract="Align the Transcript The transcript aligner compares the speech-to-text transcript and the original transcript text to produce an aligned transcript. The aligner either uses words as whole units or breaks them down into phonemes or letters. You can therefore select one of three modes:" /><Url Source="../Content/Operations/AlignTranscripts/Iterative_Alignment.htm" Title="Iterative Alignment" Abstract="Iterative Alignment HPE recommends iterative alignment if the alignment quality is poor or if large sections of audio have not been aligned. This situation can arise when aligning very long audio. In iterative alignments, alignment occurs over two or more steps:" /><Url Source="../Content/Operations/AlignTranscripts/Troubleshooting4.htm" Title="Troubleshooting" Abstract="Troubleshooting If you receive errors associated with actions (for example, incorrect parameters), see the individual parameters in the IDOL&#160;Speech Server Reference for the correct usage." /><Url Source="../Content/Operations/AdaptAcousticModels/AcousticModels.htm" Title="Adapt Acoustic Models" Abstract="Adapt Acoustic Models This section describes how to adapt the acoustic models provided in the IDOL&#160;Speech Server language packs." /><Url Source="../Content/Operations/AdaptAcousticModels/Overview3.htm" Title="Overview" Abstract="Overview IDOL&#160;Speech Server allows you to adapt the  acoustic models that are available out of the box to more closely match the acoustic properties of particular sets of audio data. Adapting the model using data that closely represents (in terms of recording quality and accents) the audio that you expect to process should improve speech-to-text results." /><Url Source="../Content/Operations/AdaptAcousticModels/Assemble_the_Data_Set.htm" Title="Assemble the Data Set" Abstract="Assemble the Data Set For the adaptation process, you need to assemble a set of audio files and a set of transcription text files. Each audio file requires one text file that contains a verbatim transcript of the audio file." /><Url Source="../Content/Operations/AdaptAcousticModels/Audio_Data_Requirements.htm" Title="Audio Data Requirements" Abstract="Audio Data Requirements Each audio file must: " /><Url Source="../Content/Operations/AdaptAcousticModels/Transcription_Data_Requi.htm" Title="Transcription Data Requirements" Abstract="Transcription Data Requirements Each transcription text file must: " /><Url Source="../Content/Operations/AdaptAcousticModels/Data_Naming_Scheme.htm" Title="Data Naming Scheme" Abstract="Data Naming Scheme In the initial data set, the audio file and its transcription file must share the same file name (excluding the path and file extension). This allows you to use a single list to specify both audio files and text files." /><Url Source="../Content/Operations/AdaptAcousticModels/Prepare_the_Audio_Data.htm" Title="Prepare the Audio Data" Abstract="Prepare the Audio Data For each of the audio files in the adaptation data set, you must produce an audio feature (.plh) file." /><Url Source="../Content/Operations/AdaptAcousticModels/Prepare_the_Transcriptio.htm" Title="Prepare the Transcription Data" Abstract="Prepare the Transcription Data Before you run the adaptation process, you must convert the verbatim transcription files into aligned transcription .ctm files. These contain timestamps that mark the point in time that each word occurs in the audio. File conversion in IDOL&#160;Speech Server is a four-step process:" /><Url Source="../Content/Operations/AdaptAcousticModels/Present_Adaptation_Data_.htm" Title="Present Adaptation Data to IDOL&#160;Speech Server" Abstract="Present Adaptation Data to IDOL&#160;Speech Server After you prepare the adaptation data set, you can present it to IDOL&#160;Speech Server to adapt the acoustic model." /><Url Source="../Content/Operations/AdaptAcousticModels/Acoustic_Adaptation_Diag.htm" Title="Acoustic Adaptation Diagnostics" Abstract="Acoustic Adaptation Diagnostics The AmTrain task can produce a diagnostics file that contains information about the word alignments that it uses to update the models. Any significant errors in these word alignments can severely impair the quality of the adaptation." /><Url Source="../Content/Operations/AdaptAcousticModels/Finalize_the_Adapted_Aco.htm" Title="Finalize the Adapted Acoustic Model" Abstract="Finalize the Adapted Acoustic Model After IDOL&#160;Speech Server processes the adaptation data set, you have one or more accumulator files, depending on whether you split the adaptation data set into smaller chunks during the training processes. The final stage in adapting an acoustic model is to apply all the accumulator files to the original model." /><Url Source="../Content/Operations/AdaptAcousticModels/Evaluate_the_Adapted_Aco.htm" Title="Evaluate the Adapted Acoustic Model" Abstract="Evaluate the Adapted Acoustic Model To evaluate whether the adapted acoustic model improves accuracy, compare the speech-to-text results with a control run performed with the standard acoustic model. For a fair comparison, you must run the evaluation on audio that was not included in the adaptation set." /><Url Source="../Content/Operations/AdaptAcousticModels/Troubleshooting5.htm" Title="Troubleshooting" Abstract="Troubleshooting Some common issues can affect the adaptation process and impair the performance of an adapted acoustic model." /><Url Source="../Content/Operations/PhoneticPhraseSearch/AudioPhraseSearch.htm" Title="Phonetic Phrase Search" Abstract="Phonetic Phrase Search This section describes how to perform phonetic phrase search. " /><Url Source="../Content/Operations/PhoneticPhraseSearch/Overview4.htm" Title="Overview" Abstract="Overview Phonetic phrase search is a fast and approximate way of searching for words and phrases. In essence, IDOL&#160;Speech Server attempts to look for sections of audio that sound similar to the word or phrase being searched for. Phonetic search is broken into two separate stages:" /><Url Source="../Content/Operations/PhoneticPhraseSearch/Create_the_Phoneme_Time_.htm" Title="Create the Phoneme Time Track File" Abstract="Create the Phoneme Time Track File IDOL&#160;Speech Server stores phoneme time track information in an .fmd file. You process an individual audio file to create a phoneme time track file. You can then search this file, or combine time track files for multiple audio files into a single file, which you can then search." /><Url Source="../Content/Operations/PhoneticPhraseSearch/Search_the_Phoneme_Time_.htm" Title="Search the Phoneme Time Track File" Abstract="Search the Phoneme Time Track File Use the following procedure to search the phoneme time track file." /><Url Source="../Content/Operations/PhoneticPhraseSearch/Phonetic_Phrase_Search_i.htm" Title="Phonetic Phrase Search in a Single Step" Abstract="Phonetic Phrase Search in a Single Step Use the following procedure to perform phonetic phrase search in a single operation." /><Url Source="../Content/Operations/SpeakerClustering/Use_Speaker_Clustering.htm" Title="Use Speaker Clustering" Abstract="Use Speaker Clustering You can use speech clustering to segment a speech waveform and separate it out into a number of speakers. Speech Server produces a timed sequence of labels that correspond to speaker assignments." /><Url Source="../Content/Operations/IdentifySpeakers/SpeakerRecognition.htm" Title="Identify Speakers in Audio" Abstract="Identify Speakers in Audio This section describes how to perform speaker identification and speaker segmentation." /><Url Source="../Content/Operations/IdentifySpeakers/Overview5.htm" Title="Overview" Abstract="Overview The speaker identification operation identifies sections of audio that contain speech from known speakers. IDOL&#160;Speech Server lets you build a set of speaker templates to be identified based on audio samples that represent each speaker. This speaker set can be considered as either an open-set, or a closed-set:" /><Url Source="../Content/Operations/IdentifySpeakers/Create_SpeakerID_Feature_Files.htm" Title="Create Speaker ID Feature Files" Abstract="Create Speaker ID Feature Files Audio samples are used for training speaker templates, estimating speaker score thresholds, and for identification.  There are tasks supporting these functions that work directly from an audio file (or stream).  However, these tasks can only take a single audio source as input, due to the pipeline used for processing the audio." /><Url Source="../Content/Operations/IdentifySpeakers/Create_Speaker_Templates.htm" Title="Train Speaker Templates" Abstract="Train Speaker Templates You must create a speaker template for each speaker that you want to identify." /><Url Source="../Content/Operations/IdentifySpeakers/Create_Speaker_Templates1.htm" Title="Create a Speaker Template from a Single Audio File" Abstract="Create a Speaker Template from a Single Audio File This task takes a single audio file containing speech data from the speaker to be trained, and creates a new speaker template file." /><Url Source="../Content/Operations/IdentifySpeakers/Create_Speaker_Templates2.htm" Title="Create a Speaker Template from Multiple Feature Files&#xA;        " Abstract="Create a Speaker Template from Multiple Feature Files A two-step process allows you to perform speaker training with multiple audio files:" /><Url Source="../Content/Operations/IdentifySpeakers/Estimate_Speaker_Score_Thresholds.htm" Title="Estimate Speaker Score Thresholds&#xA;        " Abstract="Estimate Speaker Score Thresholds When identifying the most likely speaker in a section of audio, IDOL&#160;Speech Server scores how closely the segment acoustic properties match with  each of the speaker templates. For closed-set operation, the top-scoring speaker is simply taken as being the true result." /><Url Source="../Content/Operations/IdentifySpeakers/Package_the_Speaker_Temp.htm" Title="Package Templates&#xA;        " Abstract="Package Templates You can use a set of individual speaker template files  during identification by supplying a list file that specifies the templates to use.  However, it might be convenient to package these templates into a single speaker set file." /><Url Source="../Content/Operations/IdentifySpeakers/Search_an_Audio_File_for.htm" Title="Identify Speakers in Audio" Abstract="Identify Speakers in Audio After you have trained a set of speaker templates, you can analyze audio to identify any sections where the trained speakers are present. To process an audio file, use the SpkIdEvalWav task. To process an audio stream, use the SpkIdEvalStream task." /><Url Source="../Content/Operations/IdentifySpeakers/Troubleshooting6.htm" Title="Troubleshooting" Abstract="Troubleshooting IDOL&#160;Speech Server provides several methods for troubleshooting performance issues. " /><Url Source="../Content/Operations/IdentifySpeakers/Generate_diagnostics.htm" Title="Generate Diagnostics" Abstract="Generate Diagnostics You can configure all speaker identification-related tasks to generate a diagnostics file. The diagnostics file logs the task initialization, processing, and completion, along with any warnings." /><Url Source="../Content/Operations/IdentifySpeakers/Warnings.htm" Title="Warning Messages" Abstract="Warning Messages Depending on the speaker ID task, IDOL&#160;Speech Server can return the following warnings." /><Url Source="../Content/Operations/IdentifySpeakers/Improve_performance.htm" Title="Improve Performance" Abstract="Improve Performance Some common situations can reduce the performance of speaker identification. " /><Url Source="../Content/Operations/IdentifySpeakers/Error_Messages.htm" Title="Error Messages" Abstract="Error Messages If you receive errors associated with actions (for example, incorrect parameters), see the individual parameters in the IDOL&#160;Speech Server Reference for the correct usage." /><Url Source="../Content/Operations/IdentifyLanguages/LanguageIdentification.htm" Title="Identify Languages in Audio" Abstract="Identify Languages in Audio This section describes how to identify languages being spoken in an audio file." /><Url Source="../Content/Operations/IdentifyLanguages/Overview6.htm" Title="Overview" Abstract="Overview IDOL Speech Server can identify the languages that are being spoken in a section of audio. You can use the language ID base classifier packs (available for both 8 kHz and 16 kHz audio) to perform language identification tasks straight out of the box. You can also create your own language classifiers, either to identify languages that are not covered by the pack, or to produce classifiers that are more closely matched to the properties of your target audio than the default classifiers." /><Url Source="../Content/Operations/IdentifyLanguages/Language_Identification_.htm" Title="Language Identification Modes" Abstract="Language Identification Modes Language identification can run in three modes: " /><Url Source="../Content/Operations/IdentifyLanguages/Required_configuration.htm" Title="Configure Language Identification Tasks" Abstract="Configure Language Identification Tasks To perform language identification tasks, IDOL&#160;Speech Server requires files from the Language ID resource pack. There are two versions of the pack available:" /><Url Source="../Content/Operations/IdentifyLanguages/Run_Language_Identificat.htm" Title="Run Language Identification" Abstract="Run Language Identification The process of running language identification tasks is very similar regardless of which mode it is run in. As such, the bulk of this section focuses on segmented identification, with significant differences for other modes described where appropriate." /><Url Source="../Content/Operations/IdentifyLanguages/Create_Your_Own_Language.htm" Title="Create Your Own Language Classifiers" Abstract="Create Your Own Language Classifiers IDOL&#160;Speech Server requires a classifier file for each language that you want to identify. The base classifier pack provided with IDOL&#160;Speech Server covers the following languages for broadband (16 kHz) audio; for any other languages, or to process telephony (8 kHz) audio, you must create your own classifiers." /><Url Source="../Content/Operations/IdentifyLanguages/Create_Language_Identifi.htm" Title="Create Language Identification Feature Files" Abstract="Create Language Identification Feature Files Follow the steps to convert audio files into language identification feature files." /><Url Source="../Content/Operations/IdentifyLanguages/Create_the_Language_Clas.htm" Title="Create the Language Classifier" Abstract="Create the Language Classifier You can use the language identification feature files to create a language classifier file." /><Url Source="../Content/Operations/IdentifyLanguages/Combine_Classifiers_into.htm" Title="Combine Classifiers into a Language Identification Set" Abstract="Combine Classifiers into a Language Identification Set You must combine the individual language classifiers into a single language identification set. To identify the language being spoken, IDOL&#160;Speech Server compares audio against this set." /><Url Source="../Content/Operations/IdentifyLanguages/Optimize_the_Language_Id.htm" Title="Optimize the Language Identification Set" Abstract="Optimize the Language Identification Set After you prepare the classifier list, you can run a language identification task. However, before you do so,  HPE recommends that you optimize the language weights  in the classifier list." /><Url Source="../Content/Operations/IdentifyLanguages/Review_the_Optimization_.htm" Title="Review the Optimization Log File" Abstract="Review the Optimization Log File When you run the classifier set optimization task, IDOL&#160;Speech Server writes information about the optimization performance to a log file. To specify the log file, use the OutputLog parameter in the [lidoptimizer]  section of the tasks configuration file (speechserver-tasks.cfg). To retrieve this log file, use the GetResults action, and set the Token action parameter to the token for the optimization task." /><Url Source="../Content/Operations/IdentifyLanguages/Troubleshooting7.htm" Title="Troubleshooting" Abstract="Troubleshooting Some common situations can reduce the performance of language identification. For example:" /><Url Source="../Content/Operations/IdentifyLanguages/Error_Messages1.htm" Title="Error Messages" Abstract="Error Messages If you receive errors associated with actions (for example, incorrect parameters), see the individual parameters in the IDOL&#160;Speech Server Reference for the correct usage." /><Url Source="../Content/Operations/AudioFingerprint/AudioFingerprints.htm" Title="Audio Fingerprint Identification" Abstract="Audio Fingerprint Identification This section describes how to search for distinctive features (audio fingerprints) in audio data." /><Url Source="../Content/Operations/AudioFingerprint/Overview7.htm" Title="Overview" Abstract="Overview Audio fingerprint (AFP) identification is the process of analyzing audio data to identify occurrences of known audio clips, such as specific pieces of music or particular adverts. This process is useful for detecting when specific adverts occur, to check for copyrighted music being played, to pick out commercial jingles, and so on." /><Url Source="../Content/Operations/AudioFingerprint/Define_the_AFP_Database.htm" Title="Define the AFP Database" Abstract="Define the AFP Database When you perform any AFP operations, you must specify the AFP database to use. You can specify the database in two different ways:" /><Url Source="../Content/Operations/AudioFingerprint/Define_the_AFP_Database_.htm" Title="Define the AFP Database in the Tasks Configuration File" Abstract="Define the AFP Database in the Tasks Configuration File You can define individual AFP databases in the tasks configuration file (speechserver-tasks.cfg)." /><Url Source="../Content/Operations/AudioFingerprint/Manage_AFP_Databases.htm" Title="Manage AFP Databases" Abstract="Manage AFP Databases IDOL&#160;Speech Server allows you to: " /><Url Source="../Content/Operations/AudioFingerprint/Add_Clips_to_a_Database.htm" Title="Add Clips to a Database" Abstract="Add Clips to a Database You must add all clips to recognize to an AFP database. For example: http://localhost:13000/action=AddTask&amp;Type=AfpAddTrackWav&amp;File=C:\Data\Jingle.wav&amp;Tag=MyCompanyJingle&amp;PackDir=C:\resources&amp;Pack=Adverts" /><Url Source="../Content/Operations/AudioFingerprint/Remove_Clips_from_a_Data.htm" Title="Remove Clips from a Database" Abstract="Remove Clips from a Database You can remove audio clips that are already indexed in a database. For example:" /><Url Source="../Content/Operations/AudioFingerprint/Optimize_a_Database.htm" Title="Optimize a Database" Abstract="Optimize a Database You can optimize a database to permanently remove tracks labeled for deletion, and to optimize lookup functions." /><Url Source="../Content/Operations/AudioFingerprint/View_the_Database_Conten.htm" Title="View the Database Contents" Abstract="View the Database Contents You can return a list of all tracks in an AFP database. For example: http://localhost:13000/action=AddTask&amp;Type=AfpDatabaseInfo&amp;Pack=Adverts&amp;PackDir=C:\resources&amp;Out=AdvertsDb.ctm" /><Url Source="../Content/Operations/AudioFingerprint/Detect_Indexed_Clips_in_.htm" Title="Detect Indexed Clips in Audio" Abstract="Detect Indexed Clips in Audio IDOL&#160;Speech Server can search an audio file or stream for clips that are present in an AFP database." /><Url Source="../Content/Operations/AudioFingerprint/Detect_Repeated_Audio_Se.htm" Title="Detect Repeated Audio Sections" Abstract="Detect Repeated Audio Sections The most straightforward use of the AFP functionality is to build up a database of clips, and then search for those clips in unseen audio. However, there are other ways of making use of AFP functionality. For example, you can search a large collection of audio data for repeated sections, to help to identify features such as jingles, recorded messages, or adverts." /><Url Source="../Content/Operations/AudioFingerprint/Troubleshooting8.htm" Title="Troubleshooting" Abstract="Troubleshooting The following situations can lead to reduced performance in AFP identification. " /><Url Source="../Content/Operations/AudioSecurity/AudioSecurity.htm" Title="Audio Security" Abstract="Audio Security This section describes how IDOL&#160;Speech Server can detect security-related sounds, such as alarms or breaking glass, in an audio file or stream." /><Url Source="../Content/Operations/AudioSecurity/Overview8.htm" Title="Overview" Abstract="Overview IDOL&#160;Speech Server can detect and label segments of audio that contain security-related sounds, including alarms, breaking glass, screams, or gunshots. This functionality is available as the audiosec module, which is implemented in the AudioSecurity standard task." /><Url Source="../Content/Operations/AudioSecurity/Required_configuration.htm" Title="Configure Audio Security Tasks" Abstract="Configure Audio Security Tasks To perform audio security tasks, IDOL&#160;Speech Server requires the EVENTS pack from the Audio Security resource pack. You can download the Audio Security pack from the  HPE Download Center." /><Url Source="../Content/Operations/AudioSecurity/Create_the_Alarm_Databas.htm" Title="Create the Alarm Database" Abstract="Create the Alarm Database For the audiosec module to identify a detected alarm, it must match the alarm against a template in its database. You must create a template for each alarm you want to identify." /><Url Source="../Content/Operations/AudioSecurity/Run_Audio_Security.htm" Title="Run Audio Security" Abstract="Run Audio Security Use the following procedures to run an AudioSecurity task and retrieve the results." /><Url Source="../Content/Operations/StreamAudio/StreamLiveAudio.htm" Title="Stream Live Audio" Abstract="Stream Live Audio This section describes how to stream live audio to IDOL&#160;Speech Server operations. " /><Url Source="../Content/Operations/StreamAudio/Run_Speech_to_Text_on_Li.htm" Title="Run Speech-to-Text on Live Audio" Abstract="Run Speech-to-Text on Live Audio IDOL&#160;Speech Server can analyze streamed audio data, in addition to audio files." /><Url Source="../Content/Operations/StreamAudio/Use_Live_Mode_for_Stream.htm" Title="Use Live Mode for Streaming" Abstract="Use Live Mode for Streaming When you perform speech-to-text conversion on a live audio stream, you can specify a mode that defines the rate to perform analysis. Versions of IDOL Speech Server from 10.8 upwards and the 6.0+ versions of the language packs use DNN acoustic models to improve speech-to-text accuracy. Each language pack contains at least two DNN acoustic models of different sizes. By default, in fixed mode the larger, most accurate model is used." /><Url Source="../Content/Operations/PreprocessAudio/AudioPreProcessing.htm" Title="Preprocess Audio" Abstract="Preprocess Audio The audio preprocessing module allows you to categorize audio and analyze its quality before you use it in tasks. This module has options to perform clipping detection, Signal-to-Noise Ratio (SNR) calculation, and Dual-Tone Multi-Frequency (DTMF) dial tone identification." /><Url Source="../Content/Operations/PreprocessAudio/Audio_Preprocessor_Modes.htm" Title="Audio Preprocessor Modes" Abstract="Audio Preprocessor Modes The audio preprocessor is available as the audiopreproc module, which can run in different modes. These modes provide:" /><Url Source="../Content/Operations/PreprocessAudio/Audio_Categorization.htm" Title="Audio Categorization" Abstract="Audio Categorization Audio categorization is the principal use of the audiopreproc module. In this mode, the module classifies regions of the audio as silence, speech, or non-speech/music. You can send these segments to the wout module to produce an output file that lists the times at which each segment occurs." /><Url Source="../Content/Operations/PreprocessAudio/Audio_Quality_Assessment.htm" Title="Audio Quality Assessment" Abstract="Audio Quality Assessment The audiopreproc module can provide an assessment of the quality of the audio waveform, to give an indication of its suitability for audio indexing." /><Url Source="../Content/Operations/PreprocessAudio/DTMF_Identification.htm" Title="DTMF Identification" Abstract="DTMF Identification The audiopreproc module can perform DTMF (Dual-Tone Multi-Frequency) dial tone detection and identification. In this mode, the module can accurately detect and identify tones corresponding to the numbers 0-9, the letters A-D, and the asterisk (*) and hash (#) keys." /><Url Source="../Content/Operations/PreprocessAudio/Configure_Audio_Preproce.htm" Title="Configure Audio Preprocessing Tasks" Abstract="Configure Audio Preprocessing Tasks When you configure a task that uses the audiopreproc module, you must use the appropriate mode for the task that you want to perform. The following modes are available:" /><Url Source="../Content/Operations/PreprocessAudio/Run_an_Audio_Preprocessi.htm" Title="Run an Audio Preprocessing Task" Abstract="Run an Audio Preprocessing Task You can preprocess audio as a standalone task or as the initial step in other processing tasks. There are four standalone preprocessing tasks available out of the box, corresponding to the four audiopreproc modes." /><Url Source="../Content/Operations/PreprocessAudio/Example_Results.htm" Title="Example Results" Abstract="Example Results The GetResults action displays the audio preprocessing results as XML in your Web browser. You can also open the .ctm file from the configured IDOL&#160;Speech Server temporary directory (or another location if you specified a path in the Out parameter)." /><Url Source="../Content/Operations/PreprocessAudio/RunAudioAnalysis.htm" Title="Run Audio Analysis" Abstract="Run Audio Analysis As an alternative to using the different individual audio preprocessing options, you can use the audioAnalysis task to run all the audio preprocessing tasks that are supported by the audiopreproc module in a single task." /><Url Source="../Content/Operations/PostprocessAudio/PostProcessing.htm" Title="Postprocess Results" Abstract="Postprocess Results This section describes the postproc (postprocessing) module, which allows you to modify results from other audio processing tasks, such as speech-to-text, language identification, and so on." /><Url Source="../Content/Operations/PostprocessAudio/Post_Processing_Operatio.htm" Title="Postprocessing Operations" Abstract="Postprocessing Operations The postproc module provides two postprocessing operations: These operations are available as modes within the postproc module. To include postprocessing operations in a task, include the postproc module in the task schema. You must specify the mode for the module to run in. You can also combine modes to perform both word filtering and word fragment recombination in a single operation. For more information about how to configure the postproc module, see the IDOL&#160;Speech Server Reference." /><Url Source="../Content/Operations/PostprocessAudio/Filter_Vocabulary.htm" Title="Filter Vocabulary" Abstract="Filter Vocabulary If you enable the vocabulary filtering mode, the postproc module checks against a list of words that are barred from appearing in the results. The words list might include expletives, names, or any other vocabulary that you want to exclude from the final results. If these words exist in the results, IDOL&#160;Speech Server replaces them with a specified term. By default, this term is “&lt;BLEEP&gt;”; to change the term, set the BarredTerm parameter in the postproc module section of the tasks configuration file." /><Url Source="../Content/Operations/PostprocessAudio/Recombine_Word_Fragments.htm" Title="Recombine Word Fragments" Abstract="Recombine Word Fragments Certain speech-to-text language packs, such as Hebrew (HBIL), are based on vocabulary that has been broken down into its smallest parts to maintain a feasible vocabulary size. Using one of these language packs to perform speech-to-text on audio can produce results that contain word fragments that need to be joined back together in the final results. The postproc module can recombine these fragments into complete words. If adjacent words in the results file include hyphens as an indication of a word break, the module treats these as prefixes or suffixes and joins them to the stem of the word. For example, the postproc module could receive the following word sequence (shown in CTM format):" /><Url Source="../Content/Operations/PostprocessAudio/Configure_Audio_Postproc.htm" Title="Configure Audio Postprocessing Tasks" Abstract="Configure Audio Postprocessing Tasks When you configure a task that uses the postproc module, you must use the appropriate mode for the task that you want to perform. The following modes are available:" /><Url Source="../Content/Operations/ObfuscateTrainingData/ObfuscateTrainingData.htm" Title="Obfuscate Training Data" Abstract="Obfuscate Training Data In some cases, training audio data and transcriptions  cannot be used because the data contains sensitive or private information. IDOL Speech Server allows you to obfuscate this data so that any private information is removed. The files derived from this processing can be used to train DNNs, because the files cannot be reverse engineered into audio or recognizable word strings." /><Url Source="../Content/Operations/ObfuscateTrainingData/Overview3.htm" Title="Overview" Abstract="Overview IDOL&#160;Speech Server allows you to process training data audio files and labels in such a way that any sensitive or private information is hidden, so that the data is available for DNN model training." /><Url Source="../Content/Operations/ObfuscateTrainingData/RunDataObfuscation.htm" Title="Run a Data Obfuscation Task&#xA;        " Abstract="Run a Data Obfuscation Task This section describes how to prepare your data and use it to run a data obfuscation task." /><Url Source="../Content/Configure_Tasks/part3.htm" Title="Create Custom Tasks" Abstract="Create Custom Tasks This section describes how to create your own speech processing tasks. " /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Understand_Tasks.htm" Title="Understanding Tasks" Abstract="Understanding Tasks This section describes how tasks are set up in IDOL&#160;Speech Server and describes the schemas for some of the standard tasks that IDOL&#160;Speech Server provides." /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Overview9.htm" Title="Overview" Abstract="Overview Out of the box, IDOL&#160;Speech Server provides several standard tasks that allow you to run individual processing operations on audio data–for example, speech-to-text or speaker identification. IDOL&#160;Speech Server also allows you to run multiple operations in a single task. For example, you might want to perform both speaker identification and speech-to-text on a single audio file. You can create a single task that includes both speech-to-text and speaker identification instead of using two separate actions ." /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Modules_and_Data_Streams.htm" Title="Modules and Data Streams" Abstract="Modules and Data Streams To build your own tasks, you need to understand the core concepts that IDOL&#160;Speech Server is designed around. IDOL&#160;Speech Server contains two main sets of components:" /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Check_Module_License_Inf.htm" Title="Check Module License Information" Abstract="Check Module License Information To check how many concurrent instances of each module you currently use, send a GetStatus action. This action also displays information on any limits on the numbers of each module imposed by your license." /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Syntax_for_Module_and_St.htm" Title="Syntax for Module and Stream Variables" Abstract="Syntax for Module and Stream Variables The following sections specify the syntax to use for naming stream and module instances, and specifying module inputs and outputs." /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Name_a_Data_Stream_Insta.htm" Title="Name a Data Stream Instance" Abstract="Name a Data Stream Instance The general syntax for naming a data stream instance is: where: For example, w1 represents the instance ‘1’ of the word label stream. f3 represents the instance ‘3’ of the speech frame stream." /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Name_a_Module_Instance.htm" Title="Name a Module Instance" Abstract="Name a Module Instance The general syntax for naming a module instance is similar to the syntax for naming stream instances. For each module instance, the syntax is:" /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Specify_Module_Inputs_an.htm" Title="Specify Module Inputs and Outputs" Abstract="Specify Module Inputs and Outputs Every module instance must have a section in the IDOL&#160;Speech Server tasks configuration file, where you specify its inputs and outputs." /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Schemas_for_Standard_Tas.htm" Title="Schemas for Standard Tasks" Abstract="Schemas for Standard Tasks Before you configure your own tasks, it is useful to look at how the standard tasks are configured." /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Speech_to_Text2.htm" Title="Speech-to-Text" Abstract="Speech-to-Text The process flow for speech-to-text from the audio data point of view is: IDOL&#160;Speech Server contains a separate module for each processing step. The following diagram shows how you can implement speech-to-text from the processing modules available in IDOL&#160;Speech Server." /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Phonetic_Phrase_Search2.htm" Title="Phonetic Phrase Search" Abstract="Phonetic Phrase Search The following diagram shows the modules in IDOL&#160;Speech Server that enable phonetic search in a single action." /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Speaker_Identification2.htm" Title="Speaker Identification" Abstract="Speaker Identification The following diagram shows the modules in IDOL&#160;Speech Server that enable speaker identification in a single step." /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Spoken_Language_Identifi2.htm" Title="Spoken Language Identification" Abstract="Spoken Language Identification The following diagram shows the modules in IDOL&#160;Speech Server that enable spoken language identification in a single step." /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Audio_Fingerprint_Identi2.htm" Title="Audio Fingerprint Identification" Abstract="Audio Fingerprint Identification The following diagram shows the modules in IDOL&#160;Speech Server that create audio fingerprints in a single step." /><Url Source="../Content/Configure_Tasks/Understand_Tasks/Transcript_Alignment2.htm" Title="Transcript Alignment" Abstract="Transcript Alignment The align module compares speech-to-text output with a normalized transcript file to produce a transcript that contains a timestamp for each word." /><Url Source="../Content/Configure_Tasks/SetUpTasks/Task_Setup.htm" Title="Configure Custom Tasks" Abstract="Configure Custom Tasks You can create your own custom tasks in the IDOL&#160;Speech Server tasks configuration file (speechserver-tasks.cfg). You must enter the task configurations into the  configuration file before you start the server." /><Url Source="../Content/Configure_Tasks/SetUpTasks/General_Task_Configurati.htm" Title="General Task Configuration" Abstract="General Task Configuration When you set up a task, there are some general properties that you can configure." /><Url Source="../Content/Configure_Tasks/SetUpTasks/Convert_Data_Streams_Bet.htm" Title="Convert Data Streams Between Permitted Types" Abstract="Convert Data Streams Between Permitted Types You can readily convert streams that are of the same intrinsic data type from one type to the other. For example, you can convert between the three variants of the audio sample data type. The general syntax for in-place type conversion is NewType:OldType." /><Url Source="../Content/Configure_Tasks/SetUpTasks/Disable_Time_Slicing.htm" Title="Disable Time Slicing" Abstract="Disable Time Slicing IDOL&#160;Speech Server uses a scheduler that uses time slicing to distribute the CPU cycles across all active tasks and modules. Time slicing saves power, but might lead to a slower running speed for some tasks.  HPE recommends that you disable time slicing for modules that do not process audio data, such as lmbuild and align." /><Url Source="../Content/Configure_Tasks/SetUpTasks/General_Module_Configura.htm" Title="General Module Configuration" Abstract="General Module Configuration You can configure individual modules within a task schema. Each module has several parameters that you can set to modify its behavior. For configuration information about each module, see the IDOL&#160;Speech Server Reference." /><Url Source="../Content/Configure_Tasks/SetUpTasks/Configure_Default_Output.htm" Title="Configure Default Outputs" Abstract="Configure Default Outputs You can optionally set a default output for each module. This is useful when you want to set a default output for the GetResults action for a task. For example, to use the GetResults action to return the speech-to-text outputs, you can configure the wout module so that its output is labeled as ‘out’. The GetResults action returns the labeled file–in this case, output.ctm." /><Url Source="../Content/Configure_Tasks/SetUpTasks/Execute_the_Configured_T.htm" Title="Run the Configured Task" Abstract="Run the Configured Task To run configured tasks, send an AddTask action to IDOL&#160;Speech Server. You must set the Type action parameter to the name of the configuration section that defines the task. You must also set any parameters required for the task to run." /><Url Source="../Content/Configure_Tasks/SetUpTasks/Configure_Variable_Param1.htm" Title="Configure Variable Parameters" Abstract="Configure Variable Parameters To improve the usability of tasks, you can change some of the configuration parameters into action parameters that you specify when you send an action. To do this, set the task configuration parameters to built-in variable values." /><Url Source="../Content/Configure_Tasks/SetUpTasks/Configure_Action_Paramet1.htm" Title="Configure Action Parameters" Abstract="Configure Action Parameters For task, module, and language configurations, you can define the configuration parameters as a variable of the form:" /><Url Source="../Content/Configure_Tasks/SetUpTasks/Set_a_Default_Value1.htm" Title="Set a Default Value" Abstract="Set a Default Value For some configuration parameters, it might be appropriate to set a default value." /><Url Source="../Content/Configure_Tasks/SetUpTasks/Configure_Simple_Referen1.htm" Title="Configure Simple References" Abstract="Configure Simple References If you want one configuration parameter to use the value of another configuration parameter, you can set a variable for the configuration parameter value." /><Url Source="../Content/Configure_Tasks/SetUpTasks/Configure_Complex_Refere1.htm" Title="Configure Complex References" Abstract="Configure Complex References You can set parameter values indirectly, as follows. ConfigParam=$ConfigSection.VarParam.AnotherParam" /><Url Source="../Content/Configure_Tasks/SetUpTasks/Load_a_Language_Pack_Man.htm" Title="Load a Language Pack Manually " Abstract="Load a Language Pack Manually By default, IDOL&#160;Speech Server automatically loads and unloads language packs depending on the requirements of server actions. For example, if you submit a French audio file to IDOL&#160;Speech Server for speech-to-text processing with the appropriate parameters, IDOL&#160;Speech Server automatically loads the French language pack." /><Url Source="../Content/Configure_Tasks/SetUpTasks/Unload_a_Language_Pack.htm" Title="Unload a Language Pack" Abstract="Unload a Language Pack If you manually load a language pack, it remains in memory until you unload it." /><Url Source="../Content/Configure_Tasks/SampleSchemas/TaskConfig.htm" Title="Sample Task Schemas" Abstract="Sample Task Schemas This section contains example schemas that allow you to perform different sequences of operations in IDOL&#160;Speech Server." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Stereo_Speech_to_Text_Co.htm" Title="Stereo Speech-to-Text Conversion" Abstract="Stereo Speech-to-Text Conversion To perform speech-to-text conversion on stereo audio input data, each channel can be processed separately. For example:" /><Url Source="../Content/Configure_Tasks/SampleSchemas/Audio_Stream_to_Text_Con.htm" Title="Audio Stream-to-Text Conversion" Abstract="Audio Stream-to-Text Conversion IDOL&#160;Speech Server can perform real-time speech-to-text conversion on an audio stream. The following sample configuration is for such a task." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Speech_to_Text_with_Word.htm" Title="Speech-to-Text with Word Filtering" Abstract="Speech-to-Text with Word Filtering The following schema describes a speech-to-text operation that is followed by a postprocessing operation that filters the results to replace any inappropriate words with a specified term (by default, this term is “&lt;BLEEP&gt;”)." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Language_Identification.htm" Title="Language Identification" Abstract="Language Identification The following schema describes language identification in CUMULATIVE mode. [LangIDCumWav]&#xA;0 = a ← wav(MONO, input)&#xA;1 = f ← frontend(_, a)&#xA;2 = nf ← normalizer(_, f)&#xA;3 = lf ← lidfeature(_, nf)&#xA;4 = lid ← langid(CUMULATIVE, lf)&#xA;5 = output ← lidout(_, lid)" /><Url Source="../Content/Configure_Tasks/SampleSchemas/Language_Identification_2.htm" Title="Language Identification Feature Extraction" Abstract="Language Identification Feature Extraction The following schema describes the creation of language identification feature files that you can use to create and optimize language identification classifiers." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Language_Identification_3.htm" Title="Language Identification Optimization" Abstract="Language Identification Optimization The following schema uses the lidoptimizer module to optimize language identification classifier files." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Transcript_Alignment3.htm" Title="Transcript Alignment" Abstract="Transcript Alignment The following schema describes transcript alignment. [transcriptAlign]&#xA;0 = w ← ctm(READ, input)&#xA;1 = w2 ← align(ALIGN, w)&#xA;2 = output ← wout(_, w2)&#xA;DefaultResults = out" /><Url Source="../Content/Configure_Tasks/SampleSchemas/Build_Language_Models.htm" Title="Build Language Models" Abstract="Build Language Models The following schema describes building language models. [LanguageModelBuild]&#xA;0 = output ← lmbuild(_, input)&#xA;DisableTimeSlicing=True&#xA;DefaultResults=log" /><Url Source="../Content/Configure_Tasks/SampleSchemas/ClusterSpeech.htm" Title="Cluster Speech" Abstract="Cluster Speech The following schema describes how to segment an audio file into speaker clusters labelled Cluster_0, Cluster_1, and so on." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Train_Speakers_for_Speak.htm" Title="Train Templates for Speaker Identification" Abstract="Train Templates for Speaker Identification The following schema describes how to train the speaker identification module with speakers." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Peform_SpeakerID_Templates.htm" Title="Perform Speaker Identification Using Templates" Abstract="Perform Speaker Identification Using Templates The following schema describes how to run speaker identification given a set of templates." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Audio_Fingerprint_Identi3.htm" Title="Audio Fingerprint Identification" Abstract="Audio Fingerprint Identification The following schema describes how to define an audio fingerprint (AFP) identification task." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Add_a_Track_to_an_Audio_.htm" Title="Add a Track to an Audio Fingerprint Database" Abstract="Add a Track to an Audio Fingerprint Database The following schema describes how to add an audio track to an AFP database." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Remove_a_Track_from_an_A.htm" Title="Remove a Track from an Audio Fingerprint Database" Abstract="Remove a Track from an Audio Fingerprint Database The following schema describes the task of removing an audio task from an AFP database." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Audio_Security1.htm" Title="Audio Security" Abstract="Audio Security The following schema describes how to use the audiosec module for audio security processing." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Preprocess_Audio_Files_f.htm" Title="Preprocess Audio Files for Phonetic Phrase Search" Abstract="Preprocess Audio Files for Phonetic Phrase Search The following schema describes the preprocessing of an audio file to create a phoneme time track file required for phonetic phrase search." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Combine_Phonetic_Phrase_.htm" Title="Combine Phonetic Phrase Search Data Files" Abstract="Combine Phonetic Phrase Search Data Files The following schema describes a task that combines multiple phoneme time track files (each produced from a single audio file) into a combined file." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Run_a_Phonetic_Phrase_Se.htm" Title="Run a Phonetic Phrase Search" Abstract="Run a Phonetic Phrase Search The following schema describes the process for phonetic phrase searching." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Combine_Output_from_Mult.htm" Title="Combine Output from Multiple Channels" Abstract="Combine Output from Multiple Channels The following schema describes how to use the mixer module to combine word output from multiple modules into a single timeline." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Categorize_Audio.htm" Title="Categorize Audio" Abstract="Categorize Audio The following schema describes how to use the audiopreproc module to identify regions of silence, speech, and non-speech in an audio file." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Assess_Audio_Quality.htm" Title="Assess Audio Quality" Abstract="Assess Audio Quality The following schema describes how to use the audiopreproc module to assess audio for clipping and to measure the signal-to-noise ratio." /><Url Source="../Content/Configure_Tasks/SampleSchemas/Identify_DTMF_Dial_Tones.htm" Title="Identify DTMF Dial Tones" Abstract="Identify DTMF Dial Tones The following schema describes how to use the audiopreproc module to identify DTMF dial tones." /><Url Source="../Content/Appendixes/appart.htm" Title="Appendixes" Abstract="Appendixes " /><Url Source="../Content/Appendixes/FileNameReqs/app_filenames.htm" Title="Input and Output Files" Abstract="Input and Output Files This appendix contains tables that describe the files that IDOL&#160;Speech Server handles. Where appropriate, they include the following information." /><Url Source="../Content/Appendixes/FileNameReqs/Basic_config.htm" Title="Configuration File" Abstract="Configuration File The following sections describe the files specified in the speechserver.cfg file. " /><Url Source="../Content/Appendixes/FileNameReqs/Logging_Sections.htm" Title="Logging Sections" Abstract="Logging Sections This table lists files specified by parameters in logging configuration sections. " /><Url Source="../Content/Appendixes/FileNameReqs/Server_Section.htm" Title="[Server] Section" Abstract="[Server] Section This table lists files specified by parameters in the [Server] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/Tasks_config.htm" Title="Tasks Configuration File" Abstract="Tasks Configuration File The following sections describe files specified in the tasks configuration file (speechserver-tasks.cfg)." /><Url Source="../Content/Appendixes/FileNameReqs/_MyLanguage__Section.htm" Title="[LangPack] Section" Abstract="[LangPack] Section This table lists files specified by parameters in the [LangPack] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_afpedit__Section.htm" Title="[afpedit] Section" Abstract="[afpedit] Section This table lists files specified by parameters in the [afpedit] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_afpfile__Section.htm" Title="[afpfile] Section" Abstract="[afpfile] Section This table lists files specified by parameters in the [afpfile] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_afpout__Section.htm" Title="[afpout] Section" Abstract="[afpout] Section This table lists files specified by parameters in the [afpout] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_align__Section.htm" Title="[align] Section" Abstract="[align] Section This table lists files specified by parameters in the [align] configuration section. " /><Url Source="../Content/Appendixes/FileNameReqs/_amadaptadddata__Section.htm" Title="[amadaptadddata] Section" Abstract="[amadaptadddata] Section This table lists files specified by parameters in the [amadaptadddata] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_amadaptend__Section.htm" Title="[amadaptend] Section" Abstract="[amadaptend] Section This table lists files specified by parameters in the [amadaptend] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_audiotemplatedevel__Section.htm" Title="[audiotemplatedevel] Section" Abstract="[audiotemplatedevel] Section This table lists files specified by parameters in the [audiotemplatedevel] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_audiotemplateedit__Section.htm" Title="[audiotemplateedit] Section" Abstract="[audiotemplateedit] Section This table lists files specified by parameters in the [audiotemplateedit] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_audiotemplatelscore__Section.htm" Title="[audiotemplatescore] Section" Abstract="[audiotemplatescore] Section This table lists files specified by parameters in the [audiotemplatescore] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_audiotemplatetrain__Section.htm" Title="[audiotemplatetrain] Section" Abstract="[audiotemplatetrain] Section This table lists files specified by parameters in the [audiotemplatetrain] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_audiopreproc__Section.htm" Title="[audiopreproc] Section" Abstract="[audiopreproc] Section This table lists files specified by parameters in the [audiopreproc] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_audiosec__Section.htm" Title="[audiosec] Section" Abstract="[audiosec] Section This table lists files specified by parameters in the [audiosec] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_ctm__Section.htm" Title="[ctm] Section" Abstract="[ctm] Section This table lists files specified by parameters in the [ctm] configuration section. 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" /><Url Source="../Content/Appendixes/FileNameReqs/_textnorm__Section.htm" Title="[textnorm] Section" Abstract="[textnorm] Section This table lists files specified by parameters in the [textnorm] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_textsegment_section.htm" Title="[textsegment] Section" Abstract="[textsegment] Section This table lists files specified by parameters in the [textsegment] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_transcheck__Section.htm" Title="[transcheck] Section" Abstract="[transcheck] Section This table lists files specified by parameters in the [transcheck] configuration section." /><Url Source="../Content/Appendixes/FileNameReqs/_wav__Section.htm" Title="[wav] Section" Abstract="[wav] Section This table lists files specified by parameters in the [wav] configuration section. " /><Url Source="../Content/Appendixes/FileNameReqs/_wout__Section.htm" Title="[wout] Section" Abstract="[wout] Section This table lists files specified by parameters in the [wout] configuration section. " /><Url Source="../Content/Appendixes/FileTypes/app_filetypes.htm" Title="IDOL&#160;Speech Server File Types" Abstract="IDOL&#160;Speech Server File Types This appendix describes the different files that IDOL&#160;Speech Server produces and uses." /><Url Source="../Content/Appendixes/FileTypes/File_Types.htm" Title="File Types" Abstract="File Types IDOL&#160;Speech Server produces and uses files with the following file name extensions. 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