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Multi-Objective Learning and Mask-Based Post-Processing for Deep Neural
  Network Based Speech Enhancement

Multi-Objective Learning and Mask-Based Post-Processing for Deep Neural Network Based Speech Enhancement

21 March 2017
Yong-mei Xu
Jun Du
Zhen Huang
Lirong Dai
Chin-Hui Lee
ArXivPDFHTML

Papers citing "Multi-Objective Learning and Mask-Based Post-Processing for Deep Neural Network Based Speech Enhancement"

12 / 12 papers shown
Title
NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement
NADiffuSE: Noise-aware Diffusion-based Model for Speech Enhancement
Wen Wang
Dongchao Yang
Qichen Ye
Bowen Cao
Yuexian Zou
DiffM
40
3
0
03 Sep 2023
Listening to Sounds of Silence for Speech Denoising
Listening to Sounds of Silence for Speech Denoising
Ruilin Xu
Rundi Wu
Y. Ishiwaka
Carl Vondrick
Changxi Zheng
28
32
0
22 Oct 2020
A Comparison of Label-Synchronous and Frame-Synchronous End-to-End
  Models for Speech Recognition
A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition
Linhao Dong
Cheng Yi
Jianzong Wang
Shiyu Zhou
Shuang Xu
X. Jia
Bo Xu
36
17
0
20 May 2020
A Review of Multi-Objective Deep Learning Speech Denoising Methods
A Review of Multi-Objective Deep Learning Speech Denoising Methods
A. Azarang
N. Kehtarnavaz
34
30
0
26 Mar 2020
Unsupervised Representation Disentanglement using Cross Domain Features
  and Adversarial Learning in Variational Autoencoder based Voice Conversion
Unsupervised Representation Disentanglement using Cross Domain Features and Adversarial Learning in Variational Autoencoder based Voice Conversion
Wen-Chin Huang
Hao Luo
Hsin-Te Hwang
Chen-Chou Lo
Yu-Huai Peng
Yu Tsao
Hsin-Min Wang
DRL
17
42
0
22 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
34
81
0
02 Jan 2020
Incorporating Symbolic Sequential Modeling for Speech Enhancement
Incorporating Symbolic Sequential Modeling for Speech Enhancement
Chien-Feng Liao
Yu Tsao
Xugang Lu
Hisashi Kawai
27
18
0
30 Apr 2019
Bridging the Gap Between Monaural Speech Enhancement and Recognition
  with Distortion-Independent Acoustic Modeling
Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling
Peidong Wang
Ke Tan
DeLiang Wang
19
55
0
11 Mar 2019
DNN-based Source Enhancement to Increase Objective Sound Quality
  Assessment Score
DNN-based Source Enhancement to Increase Objective Sound Quality Assessment Score
Yuma Koizumi
Kenta Niwa
Yusuke Hioka
Kazunori Kobayashi
Y. Haneda
6
63
0
22 Oct 2018
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics
  Optimization by Fully Convolutional Neural Networks
End-to-End Waveform Utterance Enhancement for Direct Evaluation Metrics Optimization by Fully Convolutional Neural Networks
Szu-Wei Fu
Tao-Wei Wang
Yu Tsao
Xugang Lu
Hisashi Kawai
31
272
0
12 Sep 2017
Complex spectrogram enhancement by convolutional neural network with
  multi-metrics learning
Complex spectrogram enhancement by convolutional neural network with multi-metrics learning
Szu-Wei Fu
Ting-Yao Hu
Yu Tsao
Xugang Lu
18
176
0
27 Apr 2017
Hierarchical learning for DNN-based acoustic scene classification
Hierarchical learning for DNN-based acoustic scene classification
Yong-mei Xu
Qiang Huang
Wenwu Wang
Mark D. Plumbley
25
28
0
13 Jul 2016
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