ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.01538
  4. Cited By
Speech Enhancement based on Denoising Autoencoder with Multi-branched
  Encoders
v1v2v3 (latest)

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
ArXiv (abs)PDFHTML

Papers citing "Speech Enhancement based on Denoising Autoencoder with Multi-branched Encoders"

11 / 11 papers shown
Title
DENOASR: Debiasing ASRs through Selective Denoising
DENOASR: Debiasing ASRs through Selective Denoising
Anand Rai
S. Jaiswal
Shubham Prakash
Bendi Pragnya Sree
Animesh Mukherjee
79
0
0
22 Oct 2024
Self-Supervised Visual Acoustic Matching
Self-Supervised Visual Acoustic Matching
Arjun Somayazulu
Changan Chen
Kristen Grauman
SSL
91
13
0
27 Jul 2023
How to Leverage DNN-based speech enhancement for multi-channel speaker
  verification?
How to Leverage DNN-based speech enhancement for multi-channel speaker verification?
Sandipana Dowerah
Romain Serizel
D. Jouvet
Mohammad MohammadAmini
D. Matrouf
82
2
0
17 Oct 2022
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
77
17
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
50
3
0
24 Jan 2022
Domain Adaptation and Autoencoder Based Unsupervised Speech Enhancement
Domain Adaptation and Autoencoder Based Unsupervised Speech Enhancement
Yi Li
Yang Sun
K. Horoshenkov
S. M. Naqvi
48
24
0
09 Dec 2021
OSSEM: one-shot speaker adaptive speech enhancement using meta learning
OSSEM: one-shot speaker adaptive speech enhancement using meta learning
Cheng Yu
Szu-Wei Fu
Tsun-An Hsieh
Yu Tsao
Mirco Ravanelli
VLM
79
4
0
10 Nov 2021
Star DGT: a Robust Gabor Transform for Speech Denoising
Star DGT: a Robust Gabor Transform for Speech Denoising
Vicky Kouni
Holger Rauhut
Theoharis Theoharis
21
1
0
29 Apr 2021
Attention-based multi-task learning for speech-enhancement and
  speaker-identification in multi-speaker dialogue scenario
Attention-based multi-task learning for speech-enhancement and speaker-identification in multi-speaker dialogue scenario
Chiang-Jen Peng
Yun-Ju Chan
Cheng Yu
Syu-Siang Wang
Yu Tsao
T. Chi
30
4
0
07 Jan 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
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility
  Assessment Model
STOI-Net: A Deep Learning based Non-Intrusive Speech Intelligibility Assessment Model
Ryandhimas E. Zezario
Szu-Wei Fu
C. Fuh
Yu Tsao
Hsin-Min Wang
44
42
0
09 Nov 2020
1