The X-Lance Technical Report for Interspeech 2024 Speech Processing using Discrete Speech Unit Challenge

Yiwei Guo, Chenrun Wang, Yifan Yang, Hankun Wang, Ziyang Ma, Chenpeng Du, Shuai Wang, Hanzheng Li, Xu Li, Shuai Fan, Hui Zhang, Xie Chen, Kai Yu

Abstract: 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 syn-thesis (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 leaderboard11https://huggingface.co/spaces/discrete-speech/interspeech2024_discrete_speech_tts_full 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.