SPE-83.3
MULTI-TURN RNN-T FOR STREAMING RECOGNITION OF MULTI-PARTY SPEECH
Ilya Sklyar, Anna Piunova, Amazon, Germany; Xianrui Zheng, University of Cambridge, United Kingdom of Great Britain and Northern Ireland; Yulan Liu, DeepMind, United Kingdom of Great Britain and Northern Ireland
Session:
New Algorithm for Speech Recognition
Track:
Speech and Language Processing
Location:
Gather Area C
Presentation Time:
Fri, 13 May, 21:00 - 21:45 China Time (UTC +8)
Fri, 13 May, 13:00 - 13:45 UTC
Fri, 13 May, 13:00 - 13:45 UTC
Session Chair:
Yanmin Qian, Shanghai Jiaotong University
Session SPE-83
SPE-83.1: KNOWLEDGE DISTILLATION FROM LANGUAGE MODEL TO ACOUSTIC MODEL: A HIERARCHICAL MULTI-TASK LEARNING APPROACH
Munhak Lee, Joonhyuk Chang, Hanyang University, Korea, Republic of
SPE-83.2: IMPROVING PSEUDO-LABEL TRAINING FOR END-TO-END SPEECH RECOGNITION USING GRADIENT MASK
Shaoshi Ling, Chen Shen, Meng Cai, Zejun Ma, bytedance, China
SPE-83.3: MULTI-TURN RNN-T FOR STREAMING RECOGNITION OF MULTI-PARTY SPEECH
Ilya Sklyar, Anna Piunova, Amazon, Germany; Xianrui Zheng, University of Cambridge, United Kingdom of Great Britain and Northern Ireland; Yulan Liu, DeepMind, United Kingdom of Great Britain and Northern Ireland
SPE-83.4: On Language Model Integration for RNN Transducer based Speech Recognition
Wei Zhou, Zuoyun Zheng, Ralf Schlüter, Hermann Ney, RWTH Aachen University, Germany
SPE-83.5: CACHING NETWORKS: CAPITALIZING ON COMMON SPEECH FOR ASR
Anastasios Alexandridis, Grant Strimel, Ariya Rastrow, Pavel Kveton, Jon Webb, Maurizio Omologo, Siegfried Kunzmann, Athanasios Mouchtaris, Amazon.com, United States of America
SPE-83.6: GPU-ACCELERATED FORWARD-BACKWARD ALGORITHM WITH APPLICATION TO LATTICE-FREE MMI
Lucas Ondel, Léa-Marie Lam-Yee-Mui, Caio Corro, Laboratoire Interdisciplinaire des Sciences du Numérique, France; Martin Kocour, Lukas Burget, Brno University of Technology, France