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Speech Enhancement based on Denoising Autoencoder with Multi-branched
  Encoders

Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders

6 January 2020
Cheng Yu
Ryandhimas E. Zezario
Syu-Siang Wang
Jonathan Sherman
Yi-Yen Hsieh
Xugang Lu
Hsin-Min Wang
Yu Tsao
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Papers citing "Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders"

4 / 4 papers shown
Title
aTENNuate: Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio
aTENNuate: Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio
Yan Ru Pei
Ritik Shrivastava
FNU Sidharth
43
1
0
05 Sep 2024
MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility
  Prediction Model for Hearing Aids
MBI-Net: A Non-Intrusive Multi-Branched Speech Intelligibility Prediction Model for Hearing Aids
Ryandhimas E. Zezario
Fei Chen
C. Fuh
Hsin-Min Wang
Yu Tsao
29
16
0
07 Apr 2022
A Novel Temporal Attentive-Pooling based Convolutional Recurrent
  Architecture for Acoustic Signal Enhancement
A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement
Tassadaq Hussain
Wei-Chien Wang
M. Gogate
K. Dashtipour
Yu Tsao
Xugang Lu
A. Ahsan
Amir Hussain
21
3
0
24 Jan 2022
Towards speech enhancement using a variational U-Net architecture
Towards speech enhancement using a variational U-Net architecture
E. J. Nustede
Jörn Anemüller
15
1
0
07 Dec 2020
1