Showing 8 open source projects for "python-i2c-tiny-usb"

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  • 1
    DeepSpeech

    DeepSpeech

    Open source embedded speech-to-text engine

    DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers. DeepSpeech is an open-source Speech-To-Text engine, using a model trained by machine learning techniques based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow to make the implementation easier. A pre-trained English model is available for use and can be downloaded following the...
    Downloads: 3 This Week
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  • 2
    Yet Another Audio Feature Extractor is a toolbox for audio analysis. Easy to use and efficient at extracting a large number of audio features simultaneously. WAV and MP3 files supported, or embedding in C++, Python or Matlab applications.
    Downloads: 0 This Week
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  • 3
    Tiny player (up to 3 kb) for Jescola's Buzz. Includes Klatt speech synth (experimental). First release in 64k intro Yo-08 which took first place on Paradox 2002. C-version was created to be ported to assembler.
    Downloads: 0 This Week
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  • 4
    RNNLIB is a recurrent neural network library for sequence learning problems. Applicable to most types of spatiotemporal data, it has proven particularly effective for speech and handwriting recognition. full installation and usage instructions given at http://sourceforge.net/p/rnnl/wiki/Home/
    Downloads: 0 This Week
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  • 5
    QWave: Qt-based waveform display and audio playback class library.
    Downloads: 0 This Week
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  • 6
    A collection of scripts and programs to automatically annotate video/audio for subtitles. Basically relies on a MARSYAS (Music Analysis, Retrieval and Synthesis for Audio Signals) plug-in for detecting human voice in polyphonic recordings.
    Downloads: 0 This Week
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  • 7
    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: 2 This Week
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  • 8
    This project is intended for users who want to get more out of the voice modem they may have. Why another project for modem? Looking for the good quality software for the voice communication trough the modem, I could find only Win32 based. Linux now :)
    Downloads: 0 This Week
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