Speaker Separation does not support speaker identity recognition enrollment or the ability to track unique speakers across multiple audio files. The speaker separation feature supports the separation of two or more speakers in a single audio file. Upon completion of the process, all signal data used to separate the speakers is discarded. These voice characteristics signals are used and temporarily retained for the sole purpose of annotating the transcription output with markers next to text for Speaker 1 (Guest-1) or Speaker 2 (Guest-2). When customers enable the speaker separation (diarization) option (disabled by default), the speech to text engine analyzes and extracts unique voice characteristics signals from the audio input to differentiate the audio between speakers. This feature is available for both real-time and batch API. See the data flows for each Speech to text feature: See Batch Transcription - Configuration Properties for more detail. Customers may set a retention time for generated transcription text files by using a parameter called "timeToLive". The customer controls the storage of this data, including the retention of such data. In batch transcription, customers specify their chosen storage location of both audio input and output transcription text files for Speech service to access, process, and provide the transcription output. See Trusted Cloud: security, privacy, compliance, resiliency, and IP for more information about Azure-wide security and privacy protection. All data in-transit are encrypted for protection. The transcription output represents the best inference or prediction in text format of what was spoken in the audio input.įor real-time speech to text, audio input is processed only on the Azure's server memory, and no data is stored at rest. Relying upon its acoustic and linguistic or language understanding features, speech to text selects candidate words and phrases that may be uttered in the audio input. When a client application sends audio input to speech to text, the speech recognition engine parses audio and converts it to text. How does speech to text process data? Real-time speech to text Again, no data is persisted in the TTS data processing. If users need transcribed/translated text in an audio format, the feature sends the output text to text to speech (TTS). See What is the Translator service for more information about the text translation service. No input/output data is retained by Speech service after the completion of a translation request. The text translation service is used only to convert text from one language to another. Transcription for speech translation: When the speech translation feature is used, transcribed text that speech to text generated is translated into a specified language through the Translator service.Pronunciations are assessed based on the input transcriptions.
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