2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

2021 IEEE International Conference on Acoustics, Speech and Signal Processing

6-11 June 2021 • Toronto, Ontario, Canada

Extracting Knowledge from Information

Technical Program

SPE-9: Speech Recognition 3: Transformer Models 1

Session Type: Poster
Time: Tuesday, 8 June, 16:30 - 17:15
Location: Gather.Town
 
SPE-9.1: TRANSFORMER-TRANSDUCERS FOR CODE-SWITCHED SPEECH RECOGNITION
         Siddharth Dalmia; Carnegie Mellon University
         Yuzong Liu; Amazon
         Srikanth Ronanki; Amazon
         Katrin Kirchhoff; Amazon
 
SPE-9.2: WAKE WORD DETECTION WITH STREAMING TRANSFORMERS
         Yiming Wang; Johns Hopkins University
         Hang Lv; Northwestern Polytechnical University
         Daniel Povey; Xiaomi Corporation
         Lei Xie; Northwestern Polytechnical University
         Sanjeev Khudanpur; Johns Hopkins University
 
SPE-9.3: CAPTURING MULTI-RESOLUTION CONTEXT BY DILATED SELF-ATTENTION
         Niko Moritz; Mitsubishi Electric Research Laboratories (MERL)
         Takaaki Hori; Mitsubishi Electric Research Laboratories (MERL)
         Jonathan Le Roux; Mitsubishi Electric Research Laboratories (MERL)
 
SPE-9.4: RECENT DEVELOPMENTS ON ESPNET TOOLKIT BOOSTED BY CONFORMER
         Pengcheng Guo; Northwestern Polytechnical University; Johns Hopkins University
         Florian Boyer; LaBRI, University of Bordeaux; Airudit
         Xuankai Chang; Johns Hopkins University
         Tomoki Hayashi; Nagoya University; Human Dataware Lab. Co., Ltd.
         Yosuke Higuchi; Waseda University
         Hirofumi Inaguma; Kyoto University
         Naoyuki Kamo; NTT Corporation
         Chenda Li; Shanghai Jiao Tong University
         Daniel Garcia-Romero; Johns Hopkins University
         Jiatong Shi; Johns Hopkins University
         Jing Shi; Institute of Automation, Chinese Academy of Sciences, China and Johns Hopkins University
         Shinji Watanabe; Johns Hopkins University,
         Kun Wei; Northwestern Polytechnical University
         Wangyou Zhang; Shanghai Jiao Tong University
         Yuekai Zhang; Johns Hopkins University
 
SPE-9.5: HIERARCHICAL TRANSFORMER-BASED LARGE-CONTEXT END-TO-END ASR WITH LARGE-CONTEXT KNOWLEDGE DISTILLATION
         Ryo Masumura; NTT Corporation
         Naoki Makishima; NTT Corporation
         Mana Ihori; NTT Corporation
         Akihiko Takashima; NTT Corporation
         Tomohiro Tanaka; NTT Corporation
         Shota Orihashi; NTT Corporation
 
SPE-9.6: END-TO-END MULTI-CHANNEL TRANSFORMER FOR SPEECH RECOGNITION
         Feng-Ju Chang; Amazon
         Martin Radfar; Amazon
         Athanasios Mouchtaris; Amazon
         Brian King; Amazon
         Siegfried Kunzmann; Amazon