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A Multiscale Autoencoder (MSAE) Framework for End-to-End Neural Network
  Speech Enhancement

A Multiscale Autoencoder (MSAE) Framework for End-to-End Neural Network Speech Enhancement

21 September 2023
Bengt J. Borgström
M. Brandstein
ArXivPDFHTML

Papers citing "A Multiscale Autoencoder (MSAE) Framework for End-to-End Neural Network Speech Enhancement"

4 / 4 papers shown
Title
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement
Morten Kolbæk
Zheng-Hua Tan
S. H. Jensen
Jesper Jensen
AAML
63
125
0
03 Sep 2019
Voices Obscured in Complex Environmental Settings (VOICES) corpus
Voices Obscured in Complex Environmental Settings (VOICES) corpus
Colleen Richey
Maria Artigas
Zeb Armstrong
C. Bartels
H. Franco
...
Julien van Hout
Paul Gamble
Jeff Hetherly
Cory Stephenson
Karl S. Ni
45
126
0
13 Apr 2018
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
297
10,225
0
16 Nov 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
315
36,381
0
25 Aug 2016
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