Showing 5 open source projects for "java projects on linux"

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  • 1
    Moshi

    Moshi

    A speech-text foundation model for real time dialogue

    Moshi is a speech-text foundation model and full-duplex spoken dialogue framework. It uses Mimi, a state-of-the-art streaming neural audio codec. Mimi processes 24 kHz audio, down to a 12.5 Hz representation with a bandwidth of 1.1 kbps, in a fully streaming manner (latency of 80ms, the frame size), yet performs better than existing, non-streaming, codecs like SpeechTokenizer (50 Hz, 4kbps), or SemantiCodec (50 Hz, 1.3kbps). Moshi models two streams of audio: one corresponds to Moshi, and...
    Downloads: 0 This Week
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  • 2
    FM2TXT

    FM2TXT

    RtlSdr listen to radio, recognize audio, and writes text file log

    Just log your favorite FM station speech to a text file using rtl-sdr dongle and speech recognition. Cross-platform tool. Follow the README on the download page for Windows installation. https://sourceforge.net/projects/fm2txt-rtlsdr/files/ If you prefer GitHub source, not SF: https://github.com/randaller/fm2txt For those, who want to recognize from soundcard, not from rtl-sdr (this allows to transcribe NFM etc): https://github.com/randaller/souncard2txt
    Downloads: 1 This Week
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  • 3
    InproTK

    InproTK

    An Incremental Spoken Dialogue Processing Toolkit

    InproTK is an Incremental Spoken Dialogue Processing Toolkit, that is, a toolkit to help you build dialogue systems that listen and talk incrementally, allowing for advanced interactional behaviour. Please see our Wiki for more information: http://sourceforge.net/p/inprotk/wiki/
    Downloads: 0 This Week
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  • 4
    VEDICS
    VEDICS (Voice Enabled Desktop Interaction and Control System) is an assistive software which lets the user to interact with the OS using voice commands. Using this software the user can access any element found on the user's screen.
    Downloads: 0 This Week
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  • 5
    AGTK is a suite of software components for building tools for annotating linguistic signals, time-series data which documents any kind of linguistic behavior (e.g. audio, video). The internal data structures are based on annotation graphs.
    Downloads: 1 This Week
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