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NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
March 6, 2024, 5:42 a.m. | Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Yanqing Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xia
cs.LG updates on arXiv.org arxiv.org
Abstract: While recent large-scale text-to-speech (TTS) models have achieved significant progress, they still fall short in speech quality, similarity, and prosody. Considering speech intricately encompasses various attributes (e.g., content, prosody, timbre, and acoustic details) that pose significant challenges for generation, a natural idea is to factorize speech into individual subspaces representing different attributes and generate them individually. Motivated by it, we propose NaturalSpeech 3, a TTS system with novel factorized diffusion models to generate natural speech …
abstract arxiv challenges codec cs.ai cs.cl cs.lg cs.sd diffusion diffusion models eess.as natural progress quality scale speech synthesis text text-to-speech tts type zero-shot
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