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  2. List of speech recognition software - Wikipedia

    en.wikipedia.org/wiki/List_of_speech_recognition...

    The first version of the Microsoft Speech API was released for Windows NT 3.51 and Windows 95 in 1994, it was then part of Windows up to Windows Vista. This initial version already contained Direct Speech Recognition and Direct Text To Speech APIs which applications could use to directly control engines, as well as simplified 'higher-level ...

  3. Whisper (speech recognition system) - Wikipedia

    en.wikipedia.org/wiki/Whisper_(speech...

    Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]

  4. Microsoft Translator - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Translator

    Service for text translation via the Translator Text API ranges from a free tier supporting two million characters per month to paid tiers supporting billions of characters per month. [2] Speech translation via Microsoft Speech services is offered based on the time of the audio stream.

  5. FreeTTS - Wikipedia

    en.wikipedia.org/wiki/FreeTTS

    FreeTTS is an implementation of Sun's Java Speech API. FreeTTS supports end-of-speech markers. Gnopernicus uses these in a number of places: to know when text should and should not be interrupted, to better concatenate speech, and to sequence speech in different voices.

  6. Microsoft Speech API - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Speech_API

    The first version of SAPI was released in 1995, and was supported on Windows 95 and Windows NT 3.51.This version included low-level Direct Speech Recognition and Direct Text To Speech APIs which applications could use to directly control engines, as well as simplified 'higher-level' Voice Command and Voice Talk APIs.

  7. Otter.ai - Wikipedia

    en.wikipedia.org/wiki/Otter.ai

    To develop its speech transcription technology, the company says it combined deep machine learning using millions of hours of audio recordings, which were analyzed to train the software and improve the transcription capabilities. The company says that it uses proprietary algorithms to scour the web for these usable audio segments.

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