Cross-speaker Style Transfer with Prosody Bottleneck in Neural Speech Synthesis

@article{Pan2021CrossspeakerST,
  title={Cross-speaker Style Transfer with Prosody Bottleneck in Neural Speech Synthesis},
  author={Shifeng Pan and Lei He},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.12562}
}
  • Shifeng Pan, Lei He
  • Published 2021
  • Computer Science, Engineering
  • ArXiv
Cross-speaker style transfer is crucial to the applications of multi-style and expressive speech synthesis at scale. It does not require the target speakers to be experts in expressing all styles and to collect corresponding recordings for model training. However, the performances of existing style transfer methods are still far behind real application needs. The root causes are mainly twofold. Firstly, the style embedding extracted from single reference speech can hardly provide fine-grained… Expand

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