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  2. Transcription software - Wikipedia

    en.wikipedia.org/wiki/Transcription_software

    Transcription software, as with transcription services, is often provided for business, legal, or medical purposes. Compared with audio content, a text transcript is searchable, takes up less computer memory, and can be used as an alternate method of communication, such as for subtitles and closed captions.

  3. List of speech recognition software - Wikipedia

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

    Transcription from recorded text; acquired by Nuance: iListen (discontinued) PowerPC Macintosh; discontinued by MacSpeech; acquired by Nuance: Speakable items: Included with macOS: ViaVoice (discontinued) IBM Product; acquired by Nuance: Voice Navigator: Original GUI voice control; 1989

  4. List of audio conversion software - Wikipedia

    en.wikipedia.org/wiki/List_of_audio_conversion...

    An audio conversion app (also known as an audio converter) transcodes one audio file format into another; for example, from FLAC into MP3. It may allow selection of encoding parameters for each of the output file to optimize its quality and size.

  5. MediaHuman Audio Converter - Wikipedia

    en.wikipedia.org/wiki/MediaHuman_Audio_Converter

    MediaHuman Audio Converter is able to accept many popular audio file formats, such as MP3, WMA and WAV. The software is also capable of importing files to iTunes (Music app on macOS Catalina and above [4]). [5] MediaHuman Audio Converter is designed to use multiple CPU cores when converting files in ‘batch mode’. [6]

  6. Speech Recognition & Synthesis - Wikipedia

    en.wikipedia.org/wiki/Speech_Recognition_&_Synthesis

    Apps such as textPlus and WhatsApp use Text-to-Speech to read notifications aloud and provide voice-reply functionality. Google Cloud Text-to-Speech is powered by WaveNet, [5] software created by Google's UK-based AI subsidiary DeepMind, which was bought by Google in 2014. [6] It tries to distinguish from its competitors, Amazon and Microsoft. [7]

  7. 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).

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