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Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral
  Mapping for Single-channel Speech Enhancement

Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-channel Speech Enhancement

16 November 2022
Kuan-Lin Chen
Daniel D. E. Wong
Ke Tan
Buye Xu
Anurag Kumar
V. Ithapu
ArXivPDFHTML

Papers citing "Leveraging Heteroscedastic Uncertainty in Learning Complex Spectral Mapping for Single-channel Speech Enhancement"

4 / 4 papers shown
Title
Speech Quality Assessment through MOS using Non-Matching References
Speech Quality Assessment through MOS using Non-Matching References
Pranay Manocha
Anurag Kumar
60
25
0
24 Jun 2022
Interspeech 2021 Deep Noise Suppression Challenge
Interspeech 2021 Deep Noise Suppression Challenge
Chandan K. A. Reddy
Harishchandra Dubey
K. Koishida
A. Nair
Vishak Gopal
Ross Cutler
Sebastian Braun
H. Gamper
R. Aichner
Sriram Srinivasan
AI4CE
77
160
0
06 Jan 2021
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
Benefits of depth in neural networks
Benefits of depth in neural networks
Matus Telgarsky
148
602
0
14 Feb 2016
1