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Neural Speech Enhancement with Very Low Algorithmic Latency and
  Complexity via Integrated Full- and Sub-Band Modeling

Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling

18 April 2023
Zhongqiu Wang
Samuele Cornell
Shukjae Choi
Younglo Lee
Byeonghak Kim
Shinji Watanabe
    AI4TS
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Papers citing "Neural Speech Enhancement with Very Low Algorithmic Latency and Complexity via Integrated Full- and Sub-Band Modeling"

5 / 5 papers shown
Title
An objective evaluation of Hearing Aids and DNN-based speech enhancement
  in complex acoustic scenes
An objective evaluation of Hearing Aids and DNN-based speech enhancement in complex acoustic scenes
Enric Gusó
Joanna Luberadzka
Martí Baig
Umut Sayin Saraç
Xavier Serra
15
2
0
24 Jul 2023
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech
  Separation
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation
Zhongqiu Wang
Samuele Cornell
Shukjae Choi
Younglo Lee
Byeonghak Kim
Shinji Watanabe
32
119
0
22 Nov 2022
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural
  Speaker Separation
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation
Zhong-Qiu Wang
Samuele Cornell
Shukjae Choi
Younglo Lee
Byeonghak Kim
Shinji Watanabe
74
96
0
08 Sep 2022
Leveraging Low-Distortion Target Estimates for Improved Speech
  Enhancement
Leveraging Low-Distortion Target Estimates for Improved Speech Enhancement
Zhong-Qiu Wang
G. Wichern
Jonathan Le Roux
126
15
0
01 Oct 2021
Weighted Speech Distortion Losses for Neural-network-based Real-time
  Speech Enhancement
Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement
Yangyang Xia
Sebastian Braun
Chandan K. A. Reddy
Harishchandra Dubey
Ross Cutler
I. Tashev
29
119
0
28 Jan 2020
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