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  2. Whisper (speech recognition system) - Wikipedia

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

    Acoustic model. 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, [3] and is also capable of translating several non-English languages into English.

  3. OpenAI debuts Whisper API for speech-to-text transcription ...

    techcrunch.com/2023/03/01/openai-debuts-whisper...

    If OpenAI can break into the speech-to-text market in a major way, it could be quite profitable for the Microsoft-backed company. According to one report, the segment could be worth $5.4 billion ...

  4. OpenAI open-sources Whisper, a multilingual speech ...

    techcrunch.com/2022/09/21/openai-open-sources...

    Speech recognition remains a challenging problem in AI and machine learning. In a step toward solving it, OpenAI today open-sourced Whisper, an automatic speech recognition system that the company ...

  5. Speech recognition - Wikipedia

    en.wikipedia.org/wiki/Speech_recognition

    Speech recognition is an interdisciplinary subfield of computer science and computational linguistics that develops methodologies and technologies that enable the recognition and translation of spoken language into text by computers. It is also known as automatic speech recognition ( ASR ), computer speech recognition or speech-to-text ( STT ).

  6. List of speech recognition software - Wikipedia

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

    Tazti – Create speech command profiles to play PC games and control applications – programs. Create speech commands to open files, folders, webpages, applications. Windows 7, Windows 8 and Windows 8.1 versions. Voice Finger – software that improves the Windows speech recognition system by adding several extensions to it. The software ...

  7. Speechmatics raises $62M for speech-to-text AI - TechCrunch

    techcrunch.com/2022/06/28/speechmatics-raises-62...

    (One test it cited to me was Stanford’s ‘Racial Disparities in Speech Recognition’ study, where it recorded “an overall accuracy of 82.8% for African American voices compared to Google (68 ...

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