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Deep neural network techniques for monaural speech enhancement: state of
  the art analysis

Deep neural network techniques for monaural speech enhancement: state of the art analysis

1 December 2022
P. Ochieng
ArXivPDFHTML

Papers citing "Deep neural network techniques for monaural speech enhancement: state of the art analysis"

11 / 11 papers shown
Title
A Training and Inference Strategy Using Noisy and Enhanced Speech as
  Target for Speech Enhancement without Clean Speech
A Training and Inference Strategy Using Noisy and Enhanced Speech as Target for Speech Enhancement without Clean Speech
Li-Wei Chen
Yao-Fei Cheng
Hung-Shin Lee
Yu Tsao
Hsin-Min Wang
8
3
0
27 Oct 2022
SepIt: Approaching a Single Channel Speech Separation Bound
SepIt: Approaching a Single Channel Speech Separation Bound
Shahar Lutati
Eliya Nachmani
Lior Wolf
VLM
35
27
0
24 May 2022
Speech Separation Using an Asynchronous Fully Recurrent Convolutional
  Neural Network
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
Xiaolin Hu
Kai Li
Weiyi Zhang
Yi Luo
Jean-Marie Lemercier
Timo Gerkmann
44
47
0
04 Dec 2021
MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only
  on noisy/ reverberated speech
MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech
Szu-Wei Fu
Cheng Yu
Kuo-Hsuan Hung
Mirco Ravanelli
Yu Tsao
18
46
0
12 Oct 2021
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
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
27
26
0
13 Jan 2021
Dual-Path Transformer Network: Direct Context-Aware Modeling for
  End-to-End Monaural Speech Separation
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Jing-jing Chen
Qi-rong Mao
Dong Liu
54
279
0
28 Jul 2020
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement
Morten Kolbæk
Z. Tan
S. H. Jensen
Jesper Jensen
AAML
50
124
0
03 Sep 2019
Deep Extractor Network for Target Speaker Recovery From Single Channel
  Speech Mixtures
Deep Extractor Network for Target Speaker Recovery From Single Channel Speech Mixtures
J. Wang
Jie Chen
Dan Su
Lianwu Chen
Meng Yu
Y. Qian
Dong Yu
29
90
0
24 Jul 2018
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source
  Separation
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
Daniel Stoller
Sebastian Ewert
S. Dixon
AI4TS
101
586
0
08 Jun 2018
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,214
0
17 Apr 2017
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