Showing 3 open source projects for "google text to speech"

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  • 1
    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. Effortlessly clone the voices of your talent and have the clone handle the problems...
    Downloads: 2 This Week
    Last Update:
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  • 2
    Euler

    Euler

    A distributed graph deep learning framework.

    As a general data structure with strong expressive ability, graphs can be used to describe many problems in the real world, such as user networks in social scenarios, user and commodity networks in e-commerce scenarios, communication networks in telecom scenarios, and transaction networks in financial scenarios. and drug molecule networks in medical scenarios, etc. Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable...
    Downloads: 0 This Week
    Last Update:
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  • 3
    kcws

    kcws

    Deep Learning Chinese Word Segment

    .... Currently, the custom dictionary is supported in the decoding stage. Please refer to kcws/cc/test_seg.cc for specific usage. The dictionary is in text format.
    Downloads: 0 This Week
    Last Update:
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