Showing 4 open source projects for "activity recognition"

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  • 1
    Whisper

    Whisper

    Robust Speech Recognition via Large-Scale Weak Supervision

    OpenAI Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multitasking model that can perform multilingual speech recognition, speech translation, and language identification. A Transformer sequence-to-sequence model is trained on various speech processing tasks, including multilingual speech recognition, speech translation, spoken language identification, and voice activity detection. ...
    Downloads: 64 This Week
    Last Update:
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  • 2
    sherpa-onnx

    sherpa-onnx

    Speech-to-text, text-to-speech, and speaker recognition

    Speech-to-text, text-to-speech, and speaker recognition using next-gen Kaldi with onnxruntime without an Internet connection. Support embedded systems, Android, iOS, Raspberry Pi, RISC-V, x86_64 servers, websocket server/client, C/C++, Python, Kotlin, C#, Go, NodeJS, Java, Swift, Dart, JavaScript, Flutter.
    Downloads: 125 This Week
    Last Update:
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  • 3
    WhisperX

    WhisperX

    Automatic Speech Recognition with Word-level Timestamps

    WhisperX is an advanced speech recognition system built on top of OpenAI’s Whisper model, designed to improve transcription accuracy and timing precision for long-form audio. It addresses key limitations of standard Whisper implementations by introducing voice activity detection and forced alignment techniques to produce word-level timestamps. The system enables batched inference, significantly increasing transcription speed while maintaining high accuracy.
    Downloads: 92 This Week
    Last Update:
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  • 4
    Handy STT

    Handy STT

    A free, open source, and extensible speech-to-text application

    ...To further refine accuracy and responsiveness, Handy integrates Silero’s Voice Activity Detection (VAD) for silence filtering, ensuring only speech segments are processed.
    Downloads: 18 This Week
    Last Update:
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