Shypd.aiThe largest open index of AI toolsdeepvoice3_pytorch is an open-source PyTorch implementation for convolutional neural networks-based text-to-speech synthesis. It supports multi-speaker and single-speaker models, with pre-trained models and dataset preprocessors available.
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deepvoice3_pytorch provides a PyTorch implementation of convolutional neural networks for text-to-speech synthesis, based on the Deep Voice 3 architecture. It supports both multi-speaker and single-speaker models, offering pre-trained models and preprocessors for datasets like LJSpeech (English), JSUT (Japanese), and VCTK (English). The tool allows users to preprocess data, train models, and synthesize audio from text. It also includes features like guided attention, binary divergence for stable training, and support for custom datasets in JSON format. Users can monitor training progress with Tensorboard and utilize specific Git commits for compatibility with pre-trained models.
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