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Raw Waveform Encoder with Multi-Scale Globally Attentive Locally
  Recurrent Networks for End-to-End Speech Recognition

Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition

8 June 2021
Max W. Y. Lam
Jun Wang
Chao Weng
Dan Su
Dong Yu
ArXivPDFHTML

Papers citing "Raw Waveform Encoder with Multi-Scale Globally Attentive Locally Recurrent Networks for End-to-End Speech Recognition"

5 / 5 papers shown
Title
Sandglasset: A Light Multi-Granularity Self-attentive Network For
  Time-Domain Speech Separation
Sandglasset: A Light Multi-Granularity Self-attentive Network For Time-Domain Speech Separation
Max W. Y. Lam
Jun Wang
Dan Su
Dong Yu
AI4TS
67
49
0
01 Mar 2021
Echo State Speech Recognition
Echo State Speech Recognition
H. Shrivastava
Ankush Garg
Yuan Cao
Yu Zhang
Tara N. Sainath
37
22
0
18 Feb 2021
ATCSpeechNet: A multilingual end-to-end speech recognition framework for
  air traffic control systems
ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems
Yi Lin
Bo Yang
Linchao Li
Dongyue Guo
Jianwei Zhang
Hu Chen
Yi Zhang
24
29
0
17 Feb 2021
Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive
  Locally Recurrent Networks
Effective Low-Cost Time-Domain Audio Separation Using Globally Attentive Locally Recurrent Networks
Max W. Y. Lam
Jun Wang
Dan Su
Dong Yu
35
29
0
13 Jan 2021
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech
  Recognition
Minimum Bayes Risk Training of RNN-Transducer for End-to-End Speech Recognition
Chao Weng
Chengzhu Yu
Jia Cui
Chunlei Zhang
Dong Yu
69
39
0
28 Nov 2019
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