SPE-1: Speech Recognition 1: Neural Transducer Models 1 |
Session Type: Poster |
Time: Tuesday, 8 June, 13:00 - 13:45 |
Location: Gather.Town |
Virtual Session: View on Virtual Platform |
Session Chair: Tara Sainath, Google Inc.
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SPE-1.1: IMPROVING RNN TRANSDUCER MODELING FOR SMALL-FOOTPRINT KEYWORD SPOTTING |
Yao Tian; Bytedance |
Haitao Yao; Bytedance |
Meng Cai; Bytedance |
Yaming Liu; Bytedance |
Zejun Ma; Bytedance |
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SPE-1.2: CASCADED ENCODERS FOR UNIFYING STREAMING AND NON-STREAMING ASR |
Arun Narayanan; Google Inc. |
Tara N. Sainath; Google Inc. |
Ruoming Pang; Google Inc. |
Jiahui Yu; Google Inc. |
Chung-Cheng Chiu; Google Inc. |
Rohit Prabhavalkar; Google Inc. |
Ehsan Variani; Google Inc. |
Trevor Strohman; Google Inc. |
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SPE-1.3: A BETTER AND FASTER END-TO-END MODEL FOR STREAMING ASR |
Bo Li; Google |
Anmol Gulati; Google |
Jiahui Yu; Google |
Tara N. Sainath; Google |
Chung-Cheng Chiu; Google |
Arun Narayanan; Google |
Shuo-Yiin Chang; Google |
Ruoming Pang; Google |
Yanzhang He; Google |
James Qin; Google |
Wei Han; Google |
Qiao Liang; Google |
Yu Zhang; Google |
Trevor Strohman; Google |
Yonghui Wu; Google |
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SPE-1.4: EFFICIENT KNOWLEDGE DISTILLATION FOR RNN-TRANSDUCER MODELS |
Sankaran Panchapagesan; Google, LLC |
Daniel Park; Google, LLC |
Chung-Cheng Chiu; Google, LLC |
Yuan Shangguan; Facebook, Inc. |
Qiao Liang; Google, LLC |
Alexander Gruenstein; Google, LLC |
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SPE-1.5: PHONEME BASED NEURAL TRANSDUCER FOR LARGE VOCABULARY SPEECH RECOGNITION |
Wei Zhou; RWTH Aachen University |
Simon Berger; RWTH Aachen University |
Ralf Schlüter; RWTH Aachen University |
Hermann Ney; RWTH Aachen University |
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SPE-1.6: RNN-T BASED OPEN-VOCABULARY KEYWORD SPOTTING IN MANDARIN WITH MULTI-LEVEL DETECTION |
Zuozhen Liu; Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics |
Ta Li; Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics |
Pengyuan Zhang; Key Laboratory of Speech Acoustics and Content Understanding, Institute of Acoustics |
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