SLP-L24.5
HYSTOC: OBTAINING WORD CONFIDENCES FOR FUSION OF END-TO-END ASR SYSTEMS
Karel Beneš, Martin Kocour, Lukáš Burget, Brno University of Technology, Czechia
Session:
SLP-L24: Resource Constrained Acoustic and Langugage Modeling Lecture
Track:
Speech and Language Processing
Location:
Room E3
Presentation Time:
Thu, 18 Apr, 17:50 - 18:10 (UTC +9)
Session Co-Chairs:
Xiaodong Cui, IBM Research and Zhijian Ou, Tsinghua University
Session SLP-L24
SLP-L24.1: TOWARDS AUTOMATIC DATA AUGMENTATION FOR DISORDERED SPEECH RECOGNITION
Zengrui Jin, The Chinese University of Hong Kong, Hong Kong; Xurong Xie, Chinese Academy of Sciences, China; Tianzi Wang, Mengzhe Geng, Jiajun Deng, Guinan Li, Shujie Hu, Xunying Liu, The Chinese University of Hong Kong, Hong Kong
SLP-L24.2: SOFT ALIGNMENT OF MODALITY SPACE FOR END-TO-END SPEECH TRANSLATION
Yuhao Zhang, Kaiqi Kou, Bei Li, Northeastern University, China; Chen Xu, Harbin Engineering University, China; Chunliang Zhang, Tong Xiao, Jingbo Zhu, Northeastern University, China
SLP-L24.3: GENERATIVE CONTEXT-AWARE FINE-TUNING OF SELF-SUPERVISED SPEECH MODELS
Suwon Shon, Kwangyoun Kim, Prashant Sridhar, Yi-Te Hsu, ASAPP, United States of America; Shinji Watanabe, Carnegie Mellon University, United States of America; Karen Livescu, Toyota Technological Institute at Chicago, United States of America
SLP-L24.4: EXTENDING LARGE LANGUAGE MODELS FOR SPEECH AND AUDIO CAPTIONING
Changli Tang, Wenyi Yu, Guangzhi Sun, Tsinghua University, China; Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun Ma, ByteDance, China; Chao Zhang, Tsinghua University, China
SLP-L24.5: HYSTOC: OBTAINING WORD CONFIDENCES FOR FUSION OF END-TO-END ASR SYSTEMS
Karel Beneš, Martin Kocour, Lukáš Burget, Brno University of Technology, Czechia
SLP-L24.6: EFFECTIVE INTERNAL LANGUAGE MODEL TRAINING AND FUSION FOR FACTORIZED TRANSDUCER MODEL
Jinxi Guo, Niko Moritz, YIngyi Ma, Frank Seide, Chunyang Wu, Jay Mahadeokar, Ozlem Kalinli, Christian Fuegen, Mike Seltzer, Meta, United States of America
Contacts