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Joint Separation and Denoising of Noisy Multi-talker Speech using
  Recurrent Neural Networks and Permutation Invariant Training

Joint Separation and Denoising of Noisy Multi-talker Speech using Recurrent Neural Networks and Permutation Invariant Training

31 August 2017
Morten Kolbæk
Dong Yu
Zheng-Hua Tan
Jesper Jensen
ArXiv (abs)PDFHTML

Papers citing "Joint Separation and Denoising of Noisy Multi-talker Speech using Recurrent Neural Networks and Permutation Invariant Training"

4 / 4 papers shown
Title
On TasNet for Low-Latency Single-Speaker Speech Enhancement
On TasNet for Low-Latency Single-Speaker Speech Enhancement
Morten Kolbæk
Zheng-Hua Tan
S. H. Jensen
Jesper Jensen
81
2
0
27 Mar 2021
Two-stage model and optimal SI-SNR for monaural multi-speaker speech separation in noisy environment
Chao Ma
Dongmei Li
Xupeng Jia
34
5
0
14 Apr 2020
WHAM!: Extending Speech Separation to Noisy Environments
WHAM!: Extending Speech Separation to Noisy Environments
Gordon Wichern
J. Antognini
Michael Flynn
Licheng Richard Zhu
E. McQuinn
Dwight Crow
Ethan Manilow
Jonathan Le Roux
90
355
0
02 Jul 2019
Deep Extractor Network for Target Speaker Recovery From Single Channel
  Speech Mixtures
Deep Extractor Network for Target Speaker Recovery From Single Channel Speech Mixtures
Jun Wang
Jie Chen
Dan Su
Lianwu Chen
Meng Yu
Y. Qian
Dong Yu
93
91
0
24 Jul 2018
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