Showing 3 open source projects for "deep learning ai"

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    Modular Voice Studio

    Modular Voice Studio

    Modular Voice Studio: Next-generation real-time vocal processor

    ...Built from the ground up with C++20 and the JUCE 8 framework, Modular Voice Studio combines the visual flexibility of a modular synth rack with studio-grade vocal processing. Build custom audio routing chains in real time with zero phase artifacts, deep-learning noise suppression, surgical spectral correction, and immersive 3D binaural positioning.
    Downloads: 2 This Week
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    Coqui STT

    Coqui STT

    The deep learning toolkit for speech-to-text

    Coqui STT is a fast, open-source, multi-platform, deep-learning toolkit for training and deploying speech-to-text models. Coqui STT is battle-tested in both production and research. Multiple possible transcripts, each with an associated confidence score. Experience the immediacy of script-to-performance. With Coqui text-to-speech, production times go from months to minutes. With Coqui, the post is a pleasure.
    Downloads: 52 This Week
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  • 3
    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 instructions in the usage docs. If you want to use the pre-trained English model for performing speech-to-text, you can download it (along with other important inference material) from the DeepSpeech releases page.
    Downloads: 87 This Week
    Last Update:
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