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Speech recognition engines that operate entirely locally without network connectivity, using pre-recorded audio or live microphone input.

Distinct from Speech Recognition Engines: Distinct from Speech Recognition Engines: focuses on offline/local operation without cloud dependencies, not general ASR inference runtimes.

Explore 1 awesome GitHub repository matching artificial intelligence & ml · Offline. Refine with filters or upvote what's useful.

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Trouvez les meilleurs dépôts grâce à l'IA.Nous recherchons les dépôts les plus pertinents grâce à l'IA.
  • cmusphinx/pocketsphinxAvatar de cmusphinx

    cmusphinx/pocketsphinx

    4,276Voir sur GitHub↗

    PocketSphinx is an offline speech recognition engine that converts raw audio from files or live microphone streams into written text without requiring a network connection. It functions as a speech-to-text library, a real-time transcription engine, and a voice command processor, capable of detecting and transcribing spoken commands from continuous audio streams with configurable acoustic and language models. The engine uses weighted finite-state transducers to represent acoustic, phonetic, and language models as a single search graph for efficient decoding. It employs fixed-point acoustic mod

    Converting speech to text locally without an internet connection, using pre-recorded audio files or live microphone input.

    Ccpythonspeech-recognition
    Voir sur GitHub↗4,276
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