YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for Everyone
Edresson Casanova, Julian Weber, Christopher Dane Shulby, Arnaldo Cândido Júnior, Eren Gölge, Moacir A. Ponti
Abstract
YourTTS brings the power of a multilingual approach to the task of zero-shot multi-speaker TTS. Our method builds upon the VITS model and adds several novel modifications for zero-shot multi-speaker and multilingual training. We achieved state-of-the-art (SOTA) results in zero-shot multi-speaker TTS and results comparable to SOTA in zero-shot voice conversion on the VCTK dataset. Additionally, our approach achieves promising results in a target language with a single-speaker dataset, opening possibilities for zero-shot multi-speaker TTS and zero-shot voice conversion systems in low-resource languages. Finally, it is possible to fine-tune the YourTTS model with less than 1 minute of speech and achieve state-of-the-art results in voice similarity and with reasonable quality. This is important to allow synthesis for speakers with a very different voice or recording characteristics from those seen during training.
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Cited by top-tier papers55
- Voicebox: Text-Guided Multilingual Universal Speech Generation at ScaleMatthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer et al.NeurIPS 2023 · 613 citations
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- NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion ModelsZeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan et al.ICML 2024 · 341 citations
- Autoregressive Speech Synthesis without Vector QuantizationLingwei Meng, Long Zhou, Shujie Liu, Sanyuan Chen et al.ACL 2025 · 94 citations
- PromptTTS 2: Describing and Generating Voices with Text PromptYichong Leng, Zhifang Guo, Kai Shen, Zeqian Ju et al.ICLR 2024 · 80 citations
Builds on6
- wav2vec 2.0: A Framework for Self-Supervised Learning of Speech RepresentationsAlexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, Michael AuliNeurIPS 2020 · 9,451 citations
- HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech SynthesisJungil Kong, Jaehyeon Kim, Jaekyoung BaeNeurIPS 2020 · 2,890 citations
- Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-SpeechJaehyeon Kim, Jungil Kong, Juhee SonICML 2021 · 1,267 citations
- Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment SearchJaehyeon Kim, Sungwon Kim, Jungil Kong, Sungroh YoonNeurIPS 2020 · 663 citations
- FastSpeech 2: Fast and High-Quality End-to-End Text to SpeechYi Ren, Chenxu Hu, Xu Tan, Tao Qin et al.ICLR 2021 · 513 citations
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