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  2. Otter.ai - Wikipedia

    en.wikipedia.org/wiki/Otter.ai

    Otter.ai, Inc. Otter.ai, Inc. is an American transcription software company based in Mountain View, California. The company 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. Transcription (service) - Wikipedia

    en.wikipedia.org/wiki/Transcription_(service)

    An MP3-based Dictaphone, for example, can be used to record the sound. Recordings for transcription can be in different media file types. [1] The recording can then be opened in a PC, uploaded to a cloud storage, or emailed within minutes to someone who could be anywhere in the world. Recordings can be transcribed manually or automatically. [2]

  5. Whisper (speech recognition system) - Wikipedia

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

    MIT License. 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.

  6. Dictation machine - Wikipedia

    en.wikipedia.org/wiki/Dictation_machine

    Digital dictation workflow software: Advanced software for commercial organizations where audio is still played by a typist but the audio file can be securely and efficiently transferred. The workflow element of these advanced systems also allows users to share audio files instantly, create virtual teams, outsource transcription securely, and ...

  7. 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. [1]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 ...

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