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  2. Otter.ai - Wikipedia

    en.wikipedia.org/wiki/Otter.ai

    Otter.ai, Inc. Otter.ai, Inc. is a Mountain View, California -based technology company that develops speech to text transcription applications using artificial intelligence and machine learning. Its software, called Otter, shows captions for live speakers, and generates written transcriptions of speech. [1]

  3. Transcription software - Wikipedia

    en.wikipedia.org/wiki/Transcription_software

    Transcription software assists in the conversion of human speech into a text transcript. Audio or video files can be transcribed manually or automatically. [1] Transcriptionists can replay a recording several times in a transcription editor and type what they hear. By using transcription hot keys, the manual transcription can be accelerated ...

  4. 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.

  5. Braina - Wikipedia

    en.wikipedia.org/wiki/Braina

    Braina is a virtual assistant and speech-to-text dictation application for Microsoft Windows developed by Brainasoft. Braina uses natural language interface, speech synthesis, and speech recognition technology to interact with its users and allows them to use natural language sentences to perform various tasks on a computer in most languages of the world.

  6. Voice computing - Wikipedia

    en.wikipedia.org/wiki/Voice_computing

    The Amazon Echo, an example of a voice computer. Voice computing is the discipline that develops hardware or software to process voice inputs.. It spans many other fields including human-computer interaction, conversational computing, linguistics, natural language processing, automatic speech recognition, speech synthesis, audio engineering, digital signal processing, cloud computing, data ...

  7. Music and artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Music_and_artificial...

    The software utilized music information processing and artificial intelligence techniques to essentially solve the transcription problem for simpler melodies, although higher-level melodies and musical complexities are regarded even today as difficult deep learning tasks, and near-perfect transcription is still a subject of research.

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