SPE-44.4
Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus
Yaoming Zhu, Liwei Wu, Shanbo Cheng, Mingxuan Wang, Bytedance, China
Session:
Language Assessment / Transcription Augmentation
Track:
Speech and Language Processing
Location:
Gather Area E
Presentation Time:
Tue, 10 May, 22:00 - 22:45 China Time (UTC +8)
Tue, 10 May, 14:00 - 14:45 UTC
Tue, 10 May, 14:00 - 14:45 UTC
Session Chair:
Donald Williamson, Indiana University
Session SPE-44
SPE-44.1: FAST TASK-SPECIFIC ADAPTATION IN SPOKEN LANGUAGE ASSESSMENT WITH META-LEARNING
Binghuai Lin, Liyuan Wang, Tencent Technology Co., Ltd, China
SPE-44.2: TRANSFORMER-BASED MULTI-ASPECT MULTI-GRANULARITY NON-NATIVE ENGLISH SPEAKER PRONUNCIATION ASSESSMENT
Yuan Gong, James Glass, Massachusetts Institute of Technology, United States of America; Ziyi Chen, Iek-Heng Chu, Peng Chang, PAII Inc., United States of America
SPE-44.3: A MODEL FOR ASSESSOR BIAS IN AUTOMATIC PRONUNCIATION ASSESSMENT
Jose Antonio Lopez Saenz, Thomas Hain, University of Sheffield, United Kingdom of Great Britain and Northern Ireland
SPE-44.4: Unified Multimodal Punctuation Restoration Framework for Mixed-Modality Corpus
Yaoming Zhu, Liwei Wu, Shanbo Cheng, Mingxuan Wang, Bytedance, China
SPE-44.5: PUNCTUATION PREDICTION FOR STREAMING ON-DEVICE SPEECH RECOGNITION
Zhikai Zhou, Yanmin Qian, Shanghai Jiao Tong University, China; Tian Tan, AISpeech Ltd., China
SPE-44.6: ASR ERROR CORRECTION WITH DUAL-CHANNEL SELF-SUPERVISED LEARNING
Fan Zhang, Jinyao Yan, Communication Unversity of China, China; Mei Tu, Song Liu, Samsung Research China - Beijing (SRCB), China