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2002.05879
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Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function
14 February 2020
M. Kawanaka
Yuma Koizumi
Ryoichi Miyazaki
Kohei Yatabe
AAML
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Papers citing
"Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function"
6 / 6 papers shown
Title
Analysis of Noisy-target Training for DNN-based speech enhancement
Takuya Fujimura
T. Toda
32
4
0
02 Nov 2022
Reduction of Subjective Listening Effort for TV Broadcast Signals with Recurrent Neural Networks
Nils L. Westhausen
R. Huber
Hannah Baumgartner
Ragini Sinha
J. Rennies
B. Meyer
17
10
0
02 Nov 2021
Objective Measures of Perceptual Audio Quality Reviewed: An Evaluation of Their Application Domain Dependence
Matteo Torcoli
T. Kastner
Jürgen Herre
18
58
0
21 Oct 2021
Controlling the Remixing of Separated Dialogue with a Non-Intrusive Quality Estimate
Matteo Torcoli
Jouni Paulus
T. Kastner
C. Uhle
32
8
0
21 Jul 2021
Expressive TTS Training with Frame and Style Reconstruction Loss
Rui Liu
Berrak Sisman
Guanglai Gao
Haizhou Li
32
73
0
04 Aug 2020
Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention
Yuma Koizumi
Kohei Yatabe
Marc Delcroix
Yoshiki Masuyama
Daiki Takeuchi
20
125
0
14 Feb 2020
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