Showing 2 open source projects for "generator"

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    WhisperSpeech

    WhisperSpeech

    An Open Source text-to-speech system built by inverting Whisper

    WhisperSpeech is an open-source text-to-speech system created by “inverting” OpenAI’s Whisper, reusing its strengths as a semantic audio model to generate speech instead of only transcribing it. The project aims to be for speech what Stable Diffusion is for images: powerful, hackable, and safe for commercial use, with code under Apache-2.0/MIT and models trained only on properly licensed data. Its architecture follows a token-based, multi-stage pipeline inspired by AudioLM and SPEAR-TTS:...
    Downloads: 1 This Week
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  • 2
    HiFi-GAN

    HiFi-GAN

    Generative Adversarial Networks for Efficient and High Fidelity Speech

    HiFi-GAN is a GAN-based neural vocoder designed to generate high-fidelity speech waveforms from mel spectrograms with exceptional efficiency. It introduces a generator architecture tailored to model the periodic structure of speech and a set of discriminators that focus on different scales and periods of the waveform to better capture naturalness. The model targets a sweet spot between sample quality and generation speed, outperforming many previous GAN vocoders while being far faster than typical autoregressive models. ...
    Downloads: 0 This Week
    Last Update:
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