The THU-HCSI Multi-Speaker Multi-Lingual Few-Shot Voice Cloning System for LIMMITS'24 Challenge
<|reference_start|>The THU-HCSI Multi-Speaker Multi-Lingual Few-Shot Voice Cloning System for LIMMITS'24 Challenge: This paper presents the multi-speaker multi-lingual few-shot voice cloning system developed by THU-HCSI team for LIMMITS'24 Challenge. To achieve high speaker similarity and naturalness in both mono-lingual and cross-lingual scenarios, we build the system upon YourTTS and add several enhancements. For further improving speaker similarity and speech quality, we introduce speaker-aware text encoder and flow-based decoder with Transformer blocks. In addition, we denoise the few-shot data, mix up them with pre-training data, and adopt a speaker-balanced sampling strategy to guarantee effective fine-tuning for target speakers. The official evaluations in track 1 show that our system achieves the best speaker similarity MOS of 4.25 and obtains considerable naturalness MOS of 3.97.<|reference_end|>
@article{zhou2024the,
    title={The THU-HCSI Multi-Speaker Multi-Lingual Few-Shot Voice Cloning System
  for LIMMITS'24 Challenge},
    author={Yixuan Zhou, Shuoyi Zhou, Shun Lei, Zhiyong Wu, Menglin Wu},
    journal={arXiv preprint arXiv:2404.16619},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.16619},
    primaryClass={cs.SD eess.AS}
}