SLP-P19.4
IMPROVING CONTEXTUAL ASR VIA MULTI-GRAINED FUSION WITH LARGE LANGUAGE MODELS
Shilin Zhou, Zhenghua Li, Soochow University, China
Session:
SLP-P19: LLMs for Contextual Biasing and Error Correction in ASR Poster
Track:
Speech and Language Processing [SL]
Location:
Poster Area 27
Presentation Time:
Wed, 6 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session SLP-P19
SLP-P19.1: PHRASED: Phrase Dictionary Biasing for Speech Translation
Peidong Wang, Jian Xue, Rui Zhao, Junkun Chen, Aswin Subramanian, Jinyu Li, Microsoft, United States of America
SLP-P19.2: RLBR: REINFORCEMENT LEARNING WITH BIASING REWARDS FOR CONTEXTUAL SPEECH LARGE LANGUAGE MODELS
Bo Ren, Ruchao Fan, Yelong Shen, Weizhu Chen, Jinyu Li, Microsoft, United States of America
SLP-P19.3: TOWARDS BUILDING SPEECH LARGE LANGUAGE MODELS FOR MULTITASK UNDERSTANDING IN LOW-RESOURCE LANGUAGES
Mingchen Shao, Bingshen Mu, Chengyou Wang, Northwestern Polytechnical University, China; Hai Li, Ying Yan, iQIYI, China; Zhonghua Fu, Lei Xie, Northwestern Polytechnical University, China
SLP-P19.4: IMPROVING CONTEXTUAL ASR VIA MULTI-GRAINED FUSION WITH LARGE LANGUAGE MODELS
Shilin Zhou, Zhenghua Li, Soochow University, China
SLP-P19.5: CONTEXTUAL BIASING FOR ASR IN SPEECH LLM WITH COMMON WORD CUES AND BIAS WORD POSITION PREDICTION
Sashi Novitasari, Takashi Fukuda, Gakuto Kurata, George Saon, International Business Machines Corporation, Japan
SLP-P19.6: PEEKING INTO THE FUTURE FOR CONTEXTUAL BIASING
Ramaneswaran Selvakumar, University Of Maryland, College Park, United States of America; Cindy Tseng, Eesung Kim, Vijendra Raj Apsingekar, Yun Tang, Samsung Research America, United States of America
SLP-P19.7: WHISPER: COURTSIDE EDITION - ENHANCING ASR PERFORMANCE THROUGH LLM-DRIVEN CONTEXT GENERATION
Yonathan Ron, Shiri Gilboa, Tammuz Dubnov, Reichman University, Israel
SLP-P19.8: TOWARDS ROBUST DYSARTHRIC SPEECH RECOGNITION: LLM-AGENT POST-ASR CORRECTION BEYOND WER
Xiuwen Zheng, University of Illinois Urbana-Champaign, United States of America; Sixun Dong, Independent Researcher, United States of America; Bornali Phukon, Mark Hasegawa-Johnson, University of Illinois Urbana-Champaign, United States of America; Chang D. Yoo, Korea Advanced Institute of Science & Technology, Korea, Republic of
SLP-P19.9: LLM-BASED POST-ASR ERROR CORRECTION FOR DISORDERED SPEECH
Hangyi Wen, Mikiyas Assefa, Anas Semsayan, Eduardo Feo-Flushing, Carnegie Mellon University, Qatar
Contacts