IEEE ICASSP 2022

2022 IEEE International Conference on Acoustics, Speech and Signal Processing

7-13 May 2022
  • Virtual (all paper presentations)
22-27 May 2022
  • Main Venue: Marina Bay Sands Expo & Convention Center, Singapore
27-28 October 2022
  • Satellite Venue: Crowne Plaza Shenzhen Longgang City Centre, Shenzhen, China

ICASSP 2022
SLP-CN3: Speech and Language Processing III
Fri, 28 Oct, 13:00 - 15:00 China Time (UTC +8)
Fri, 28 Oct, 05:00 - 07:00 UTC
Location: Orchid Room, Level 2
Track: Speech and Language Processing

SLP-CN3.2: AN END-TO-END CHINESE TEXT NORMALIZATION MODEL BASED ON RULE-GUIDED FLAT-LATTICE TRANSFORMER

Wenlin Dai, Changhe Song, Xiang Li, Zhiyong Wu, Tsinghua University, China; Huashan Pan, Xiulin Li, Databaker Technology Co., Ltd, China; Helen Meng, The Chinese University of Hong Kong, China

SLP-CN3.3: NEUFA: NEURAL NETWORK BASED END-TO-END FORCED ALIGNMENT WITH BIDIRECTIONAL ATTENTION MECHANISM

Jingbei Li, Yi Meng, Zhiyong Wu, Tsinghua University, China; Helen Meng, The Chinese University of Hong Kong, China; Qiao Tian, Yuping Wang, Yuxuan Wang, ByteDance, China

SLP-CN3.5: A CHARACTER-LEVEL SPAN-BASED MODEL FOR MANDARIN PROSODIC STRUCTURE PREDICTION

Xueyuan Chen, Changhe Song, Yixuan Zhou, Zhiyong Wu, Tsinghua University, China; Changbin Chen, Zhongqin Wu, TAL Education Group, China; Helen Meng, The Chinese University of Hong Kong, China

SLP-CN3.6: TOWARDS EXPRESSIVE SPEAKING STYLE MODELLING WITH HIERARCHICAL CONTEXT INFORMATION FOR MANDARIN SPEECH SYNTHESIS

Shun Lei, Yixuan Zhou, Liyang Chen, Zhiyong Wu, Tsinghua University, China; Shiyin Kang, Huya Inc., China; Helen Meng, The Chinese University of Hong Kong, Hong Kong

SLP-CN3.7: FullSubNet+: Channel Attention FullSubNet with Complex Spectrograms for Speech Enhancement

Jun Chen, Zilin Wang, Zhiyong Wu, Tsinghua University, China; Deyi Tuo, Shiyin Kang, Huya Inc., China; Helen Meng, The Chinese University of Hong Kong, China

SLP-CN3.8: OPTIMIZING ALIGNMENT OF SPEECH AND LANGUAGE LATENT SPACES FOR END-TO-END SPEECH RECOGNITION AND UNDERSTANDING

Wei Wang, Yanmin Qian, Shanghai Jiao Tong University, China; Shuo Ren, Yao Qian, Shujie Liu, Yu Shi, Michael Zeng, Microsoft Corporation, China