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Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation
1 July 2016
Dong Yu
Morten Kolbæk
Zheng-Hua Tan
Jesper Jensen
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Papers citing
"Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation"
7 / 157 papers shown
Title
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction
Zhong-Qiu Wang
Jonathan Le Roux
DeLiang Wang
J. Hershey
96
123
0
26 Apr 2018
Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
Andrew Owens
Alexei A. Efros
SSL
51
745
0
10 Apr 2018
Cracking the cocktail party problem by multi-beam deep attractor network
Zhuo Chen
Jinyu Li
Xiong Xiao
Takuya Yoshioka
Huaming Wang
Zhenghao Wang
Jiawei Liu
15
36
0
29 Mar 2018
Classification vs. Regression in Supervised Learning for Single Channel Speaker Count Estimation
Fabian-Robert Stöter
Soumitro Chakrabarty
B. Edler
Emanuel Habets
BDL
31
37
0
12 Dec 2017
Speaker-independent Speech Separation with Deep Attractor Network
Yi Luo
Zhuo Chen
N. Mesgarani
21
246
0
12 Jul 2017
Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks
Morten Kolbaek
Dong Yu
Zheng-Hua Tan
Jesper Jensen
33
722
0
18 Mar 2017
Deep attractor network for single-microphone speaker separation
Zhuo Chen
Yi Luo
N. Mesgarani
27
404
0
27 Nov 2016
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