no code implementations • 23 Jan 2024 • Wei-Ping Huang, Sung-Feng Huang, Hung-Yi Lee
This paper presents an effective transfer learning framework for language adaptation in text-to-speech systems, with a focus on achieving language adaptation using minimal labeled and unlabeled data.
no code implementations • 9 Oct 2023 • Jiatong Shi, William Chen, Dan Berrebbi, Hsiu-Hsuan Wang, Wei-Ping Huang, En-Pei Hu, Ho-Lam Chuang, Xuankai Chang, Yuxun Tang, Shang-Wen Li, Abdelrahman Mohamed, Hung-Yi Lee, Shinji Watanabe
The 2023 Multilingual Speech Universal Performance Benchmark (ML-SUPERB) Challenge expands upon the acclaimed SUPERB framework, emphasizing self-supervised models in multilingual speech recognition and language identification.
1 code implementation • 3 Jun 2023 • Cheng-Han Chiang, Wei-Ping Huang, Hung-Yi Lee
This paper emphasizes the importance of reporting experiment details in subjective evaluations and demonstrates how such details can significantly impact evaluation results in the field of speech synthesis.
1 code implementation • 13 Oct 2022 • Guan-Ting Lin, Chi-Luen Feng, Wei-Ping Huang, Yuan Tseng, Tzu-Han Lin, Chen-An Li, Hung-Yi Lee, Nigel G. Ward
We find that 13 of the 15 SSL models outperformed the baseline on all the prosody-related tasks.
no code implementations • 27 Jun 2022 • Wei-Ping Huang, Po-Chun Chen, Sung-Feng Huang, Hung-Yi Lee
This paper studies a transferable phoneme embedding framework that aims to deal with the cross-lingual text-to-speech (TTS) problem under the few-shot setting.