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  We provide the pre-trained checkpoint of [NaturalSpeech2](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/NaturalSpeech2) trained on [LibriTTS](https://github.com/open-mmlab/Amphion/tree/main/egs/datasets#libritts), which is is a multi-speaker English corpus of approximately 585 hours of read English speech at 24kHz.
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  ## Quick Start
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  We provide the pre-trained checkpoint of [NaturalSpeech2](https://github.com/open-mmlab/Amphion/tree/main/egs/tts/NaturalSpeech2) trained on [LibriTTS](https://github.com/open-mmlab/Amphion/tree/main/egs/datasets#libritts), which is is a multi-speaker English corpus of approximately 585 hours of read English speech at 24kHz.
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+ Note that the current model is only trained on libritts, and the amount of training data is much less than the 5.5w hours of the original paper. We will soon introduce models trained on large-scale data. Please stay tuned.
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  ## Quick Start
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