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Dilated U-net based approach for multichannel speech enhancement from
  First-Order Ambisonics recordings

Dilated U-net based approach for multichannel speech enhancement from First-Order Ambisonics recordings

2 June 2020
Amélie Bosca
Alexandre Guérin
L. Perotin
Srdan Kitic
ArXiv (abs)PDFHTML

Papers citing "Dilated U-net based approach for multichannel speech enhancement from First-Order Ambisonics recordings"

4 / 4 papers shown
Title
Single-Channel Speech Enhancement with Deep Complex U-Networks and
  Probabilistic Latent Space Models
Single-Channel Speech Enhancement with Deep Complex U-Networks and Probabilistic Latent Space Models
E. J. Nustede
Jörn Anemüller
41
3
0
04 Sep 2023
EBEN: Extreme bandwidth extension network applied to speech signals
  captured with noise-resilient body-conduction microphones
EBEN: Extreme bandwidth extension network applied to speech signals captured with noise-resilient body-conduction microphones
J. Hauret
Thomas Joubaud
V. Zimpfer
Éric Bavu
48
10
0
25 Oct 2022
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing
L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing
E. Guizzo
R. F. Gramaccioni
Saeid Jamili
Christian Marinoni
Edoardo Massaro
...
Marco Pennese
Sveva Pepe
Enrico Rocchi
A. Uncini
Danilo Comminiello
154
27
0
12 Apr 2021
Towards speech enhancement using a variational U-Net architecture
Towards speech enhancement using a variational U-Net architecture
E. J. Nustede
Jörn Anemüller
46
1
0
07 Dec 2020
1