The X-LANCE Technical Report for Interspeech 2024 Speech Processing Using Discrete Speech Unit Challenge
Guo, Yiwei, Wang, Chenrun, Yang, Yifan, Wang, Hankun, Ma, Ziyang, Du, Chenpeng, Wang, Shuai, Li, Hanzheng, Fan, Shuai, Zhang, Hui, Chen, Xie, Yu, Kai
–arXiv.org Artificial Intelligence
Discrete speech tokens have been more and more popular in multiple speech processing fields, including automatic speech recognition (ASR), text-to-speech (TTS) and singing voice synthesis (SVS). In this paper, we describe the systems developed by the SJTU X-LANCE group for the TTS (acoustic + vocoder), SVS, and ASR tracks in the Interspeech 2024 Speech Processing Using Discrete Speech Unit Challenge. Notably, we achieved 1st rank on the leaderboard in the TTS track both with the whole training set and only 1h training data, with the highest UTMOS score and lowest bitrate among all submissions.
arXiv.org Artificial Intelligence
Apr-9-2024
- Genre:
- Research Report (0.40)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning > Neural Networks (0.70)
- Natural Language (1.00)
- Speech
- Speech Recognition (0.71)
- Speech Synthesis (0.49)
- Information Technology > Artificial Intelligence