Semi-supervised Training for Improving Data Efficiency in End-to-end Speech Synthesis

Author:

Chung Yu-An,Wang Yuxuan,Hsu Wei-Ning,Zhang Yu,Skerry-Ryan R.J.

Publisher

IEEE

Cited by 68 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimizing Uyghur Speech Synthesis by Combining Pretrained Cross-Lingual Model;ACM Transactions on Asian and Low-Resource Language Information Processing;2024-08-16

2. Extending Multilingual Speech Synthesis to 100+ Languages without Transcribed Data;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Universal Cross-Lingual Data Generation for Low Resource ASR;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

4. Text-Inductive Graphone-Based Language Adaptation for Low-Resource Speech Synthesis;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

5. DQR-TTS: Semi-supervised Text-to-speech Synthesis with Dynamic Quantized Representation;2023 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom);2023-12-21

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