Shypd.aiThe largest open index of AI toolsStyleTTS2 is an AI audio & music tool that leverages style diffusion and adversarial training to achieve human-level text-to-speech synthesis. It supports both single and multi-speaker models, offering realistic and expressive speech generation.
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StyleTTS2 is an advanced text-to-speech (TTS) model designed to produce human-level speech synthesis. It innovates by modeling styles as a latent random variable through diffusion models, allowing it to generate suitable styles for text without needing reference speech. This approach ensures efficient latent diffusion while benefiting from the diverse speech synthesis capabilities of diffusion models. The tool also incorporates large pre-trained speech language models (SLMs), such as WavLM, as discriminators with novel differentiable duration modeling for end-to-end training, significantly improving speech naturalness. StyleTTS2 has demonstrated superior performance, surpassing human recordings on the LJSpeech dataset and matching them on the VCTK dataset. It also excels in zero-shot speaker adaptation on the LibriTTS dataset, outperforming other publicly available models.
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