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Qibing Bai
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2020 – today
- 2026
[i11]Qibing Bai, Shuhao Shi, Shuai Wang, Yukai Ju, Yannan Wang, Haizhou Li:
CosyAccent: Duration-Controllable Accent Normalization Using Source-Synthesis Training Data. CoRR abs/2602.19166 (2026)
[i10]Qibing Bai, Yuhan Du, Tom Ko, Shuai Wang, Yannan Wang, Haizhou Li:
Controllable Accent Normalization via Discrete Diffusion. CoRR abs/2603.14275 (2026)
[i9]Kuang Wang, Lai Wei, Qibing Bai, Ping Lin, Wenkai Fang, Feng Jiang, Zhongjie Jiang, Jun Huang, Yannan Wang, Haizhou Li:
Bridging What the Model Thinks and How It Speaks: Self-Aware Speech Language Models for Expressive Speech Generation. CoRR abs/2604.11424 (2026)
[i8]Qibing Bai, Shuai Wang, Yuhan Du, Bohan Li, Yannan Wang, Haizhou Li:
TokAN: Accent Normalization Using Self-Supervised Speech Tokens. CoRR abs/2607.03928 (2026)- 2025
[c7]Qibing Bai, Sho Inoue, Shuai Wang, Zhongjie Jiang, Yannan Wang, Haizhou Li:
Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data. INTERSPEECH 2025
[i7]Qibing Bai, Sho Inoue, Shuai Wang, Zhongjie Jiang, Yannan Wang, Haizhou Li:
Accent Normalization Using Self-Supervised Discrete Tokens with Non-Parallel Data. CoRR abs/2507.17735 (2025)- 2024
[c6]Xi Chen, Songyang Zhang, Qibing Bai, Kai Chen, Satoshi Nakamura:
LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models. ACL (Findings) 2024: 6976-6987
[c5]Shuai Wang, Qibing Bai, Qi Liu, Jianwei Yu, Zhengyang Chen, Bing Han, Yanmin Qian, Haizhou Li:
Leveraging in-the-wild Data for Effective Self-supervised Pretraining in Speaker Recognition. ICASSP 2024: 10901-10905
[c4]Qibing Bai, Shuai Wang, Zhijun Liu, Mingyang Zhang, Wei Rao, Yannan Wang, Haizhou Li:
Diffusion-Based Method with TTS Guidance for Foreign Accent Conversion. ISCSLP 2024: 284-288
[i6]Zhijun Liu, Shuai Wang, Sho Inoue, Qibing Bai, Haizhou Li:
Autoregressive Diffusion Transformer for Text-to-Speech Synthesis. CoRR abs/2406.05551 (2024)
[i5]Xi Chen, Songyang Zhang
, Qibing Bai, Kai Chen, Satoshi Nakamura:
LLaST: Improved End-to-end Speech Translation System Leveraged by Large Language Models. CoRR abs/2407.15415 (2024)- 2023
[i4]Shuai Wang, Qibing Bai, Qi Liu, Jianwei Yu, Zhengyang Chen, Bing Han, Yanmin Qian, Haizhou Li:
Leveraging In-the-Wild Data for Effective Self-Supervised Pretraining in Speaker Recognition. CoRR abs/2309.11730 (2023)- 2022
[c3]Qibing Bai, Tom Ko, Yu Zhang:
A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis. INTERSPEECH 2022: 501-505
[c2]Rui Wang, Qibing Bai, Junyi Ao, Long Zhou, Zhixiang Xiong, Zhihua Wei, Yu Zhang, Tom Ko, Haizhou Li:
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT. INTERSPEECH 2022: 1686-1690
[c1]Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Qibing Bai, Yu Zhang:
Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation. INTERSPEECH 2022: 1781-1785
[i3]Rui Wang, Qibing Bai, Junyi Ao, Long Zhou, Zhixiang Xiong, Zhihua Wei, Yu Zhang, Tom Ko, Haizhou Li:
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERT. CoRR abs/2203.15610 (2022)
[i2]Qianqian Dong, Fengpeng Yue, Tom Ko, Mingxuan Wang, Qibing Bai, Yu Zhang:
Leveraging Pseudo-labeled Data to Improve Direct Speech-to-Speech Translation. CoRR abs/2205.08993 (2022)
[i1]Qibing Bai, Tom Ko, Yu Zhang:
A Study of Modeling Rising Intonation in Cantonese Neural Speech Synthesis. CoRR abs/2208.02189 (2022)
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last updated on 2026-08-07 22:31 CEST by the dblp team
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