A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis. - Qibing Bai; Tom Ko; Yu Zhang 006 (INTERSPEECH, 2022)

Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation. - Qianqian Dong; Fengpeng Yue; Tom Ko; Mingxuan Wang; Qibing Bai; Yu Zhang 006 (INTERSPEECH, 2022)

LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT. - Rui Wang 073; Qibing Bai; Junyi Ao; Long Zhou; Zhixiang Xiong; Zhihua Wei 001; Yu Zhang 006; Tom Ko; Haizhou Li 001 (INTERSPEECH, 2022)

LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models. - Xi Chen; Songyang Zhang; Qibing Bai; Kai Chen 026; Satoshi Nakamura (ACL (Findings), 2024)

Leveraging in-the-wild Data for Effective Self-supervised Pretraining in Speaker Recognition. - Shuai Wang 016; Qibing Bai; Qi Liu 018; Jianwei Yu 001; Zhengyang Chen; Bing Han 008; Yanmin Qian; Haizhou Li 001 (ICASSP, 2024)

Diffusion-Based Method with TTS Guidance for Foreign Accent Conversion. - Qibing Bai; Shuai Wang 016; Zhijun Liu; Mingyang Zhang 003; Wei Rao 002; Yannan Wang; Haizhou Li 001 (ISCSLP, 2024)

Autoregressive Diffusion Transformer for Text-to-Speech Synthesis. - Zhijun Liu; Shuai Wang 016; Sho Inoue; Qibing Bai; Haizhou Li 001 (CoRR, 2024)

Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data. - Qibing Bai; Sho Inoue; Shuai Wang 016; Zhongjie Jiang; Yannan Wang; Haizhou Li 001 (CoRR, 2025)