Shypd.aiThe largest open index of AI toolsVITS2 is an open-source text-to-speech tool that improves the quality and efficiency of single-stage speech synthesis. It utilizes adversarial learning and architecture design for more natural and efficient speech generation.
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VITS2 is an unofficial implementation of a single-stage text-to-speech model designed to enhance the naturalness, efficiency, and quality of speech synthesis. It addresses limitations of previous models by proposing improved structures and training mechanisms, significantly reducing dependence on phoneme conversion for a fully end-to-end approach. The tool supports both single and multi-speaker TTS using datasets like LJ Speech and VCTK, or custom datasets. It provides installation instructions, environment setup with Conda, and examples for training and inference. VITS2 is a work in progress, with ongoing development to support features like speaker conditioning, high-resolution mel-spectrograms, and various architectural improvements.
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