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Speaker-independent Speech Separation with Deep Attractor Network

Speaker-independent Speech Separation with Deep Attractor Network

12 July 2017
Yi Luo
Zhuo Chen
N. Mesgarani
ArXivPDFHTML

Papers citing "Speaker-independent Speech Separation with Deep Attractor Network"

30 / 30 papers shown
Title
Reading to Listen at the Cocktail Party: Multi-Modal Speech Separation
Reading to Listen at the Cocktail Party: Multi-Modal Speech Separation
Akam Rahimi
Triantafyllos Afouras
Andrew Zisserman
40
28
0
02 Jan 2025
A Neural State-Space Model Approach to Efficient Speech Separation
A Neural State-Space Model Approach to Efficient Speech Separation
Chen Chen
Chao-Han Huck Yang
Kai Li
Yuchen Hu
Pin-Jui Ku
Chng Eng Siong
24
11
0
26 May 2023
Deep neural network techniques for monaural speech enhancement: state of
  the art analysis
Deep neural network techniques for monaural speech enhancement: state of the art analysis
P. Ochieng
28
21
0
01 Dec 2022
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech
  Separation
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation
Zhongqiu Wang
Samuele Cornell
Shukjae Choi
Younglo Lee
Byeonghak Kim
Shinji Watanabe
21
119
0
22 Nov 2022
SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice
  Anti-Spoofing
SAMO: Speaker Attractor Multi-Center One-Class Learning for Voice Anti-Spoofing
Sivan Ding
You Zhang
Z. Duan
26
28
0
04 Nov 2022
Heterogeneous Separation Consistency Training for Adaptation of
  Unsupervised Speech Separation
Heterogeneous Separation Consistency Training for Adaptation of Unsupervised Speech Separation
Jiangyu Han
Yanhua Long
20
6
0
23 Apr 2022
SkiM: Skipping Memory LSTM for Low-Latency Real-Time Continuous Speech
  Separation
SkiM: Skipping Memory LSTM for Low-Latency Real-Time Continuous Speech Separation
Chenda Li
Lei Yang
Weiqin Wang
Y. Qian
24
24
0
26 Jan 2022
TriBERT: Full-body Human-centric Audio-visual Representation Learning
  for Visual Sound Separation
TriBERT: Full-body Human-centric Audio-visual Representation Learning for Visual Sound Separation
Tanzila Rahman
Mengyu Yang
Leonid Sigal
ViT
21
8
0
26 Oct 2021
Encoder-Decoder Based Attractors for End-to-End Neural Diarization
Encoder-Decoder Based Attractors for End-to-End Neural Diarization
Shota Horiguchi
Yusuke Fujita
Shinji Watanabe
Yawen Xue
Leibny Paola García-Perera
27
64
0
20 Jun 2021
Single channel voice separation for unknown number of speakers under
  reverberant and noisy settings
Single channel voice separation for unknown number of speakers under reverberant and noisy settings
Shlomo E. Chazan
Lior Wolf
Eliya Nachmani
Yossi Adi
11
29
0
04 Nov 2020
Speaker Separation Using Speaker Inventories and Estimated Speech
Speaker Separation Using Speaker Inventories and Estimated Speech
Peidong Wang
Zhuo Chen
DeLiang Wang
Jinyu Li
Y. Gong
30
11
0
20 Oct 2020
Exploring the time-domain deep attractor network with two-stream
  architectures in a reverberant environment
Exploring the time-domain deep attractor network with two-stream architectures in a reverberant environment
Hangting Chen
Pengyuan Zhang
6
6
0
01 Jul 2020
Efficient Integration of Multi-channel Information for
  Speaker-independent Speech Separation
Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation
Yuichiro Koyama
Oluwafemi Azeez
Bhiksha Raj
14
4
0
23 May 2020
End-to-End Speaker Diarization for an Unknown Number of Speakers with
  Encoder-Decoder Based Attractors
End-to-End Speaker Diarization for an Unknown Number of Speakers with Encoder-Decoder Based Attractors
Shota Horiguchi
Yusuke Fujita
Shinji Watanabe
Yawen Xue
Kenji Nagamatsu
27
185
0
20 May 2020
FaceFilter: Audio-visual speech separation using still images
FaceFilter: Audio-visual speech separation using still images
Soo-Whan Chung
Soyeon Choe
Joon Son Chung
Hong-Goo Kang
CVBM
8
66
0
14 May 2020
SpEx+: A Complete Time Domain Speaker Extraction Network
SpEx+: A Complete Time Domain Speaker Extraction Network
Meng Ge
Chenglin Xu
Longbiao Wang
Chng Eng Siong
J. Dang
Haizhou Li
19
141
0
10 May 2020
Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss
Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss
Yi Luo
N. Mesgarani
8
29
0
27 Mar 2020
Voice Separation with an Unknown Number of Multiple Speakers
Voice Separation with an Unknown Number of Multiple Speakers
Eliya Nachmani
Yossi Adi
Lior Wolf
18
175
0
29 Feb 2020
Wavesplit: End-to-End Speech Separation by Speaker Clustering
Wavesplit: End-to-End Speech Separation by Speaker Clustering
Neil Zeghidour
David Grangier
VLM
23
261
0
20 Feb 2020
Deep Audio-Visual Learning: A Survey
Deep Audio-Visual Learning: A Survey
Hao Zhu
Mandi Luo
Rui Wang
A. Zheng
R. He
24
156
0
14 Jan 2020
CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper
  Parameter Optimization
CNN-LSTM models for Multi-Speaker Source Separation using Bayesian Hyper Parameter Optimization
Jeroen Zegers
Hugo Van hamme
BDL
26
7
0
19 Dec 2019
Unsupervised Training for Deep Speech Source Separation with
  Kullback-Leibler Divergence Based Probabilistic Loss Function
Unsupervised Training for Deep Speech Source Separation with Kullback-Leibler Divergence Based Probabilistic Loss Function
M. Togami
Yoshiki Masuyama
Tatsuya Komatsu
Yumi Nakagome
11
25
0
11 Nov 2019
Mixup-breakdown: a consistency training method for improving
  generalization of speech separation models
Mixup-breakdown: a consistency training method for improving generalization of speech separation models
Max W. Y. Lam
J. Wang
Dan Su
Dong Yu
17
22
0
28 Oct 2019
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural
  Speaker Separation
Divide and Conquer: A Deep CASA Approach to Talker-independent Monaural Speaker Separation
Yuzhou Liu
DeLiang Wang
25
157
0
25 Apr 2019
Improved Speech Separation with Time-and-Frequency Cross-domain Joint
  Embedding and Clustering
Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering
Gene-Ping Yang
Chao-I Tuan
Hung-yi Lee
Lin-Shan Lee
20
25
0
16 Apr 2019
Deep Learning Based Phase Reconstruction for Speaker Separation: A
  Trigonometric Perspective
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective
Zhong-Qiu Wang
Ke Tan
DeLiang Wang
48
95
0
22 Nov 2018
Building Corpora for Single-Channel Speech Separation Across Multiple
  Domains
Building Corpora for Single-Channel Speech Separation Across Multiple Domains
Aman Rana
Gregory Sell
Leibny Paola García Perera
A. Lowe
Pratik Shah
11
10
0
06 Nov 2018
End-to-end Networks for Supervised Single-channel Speech Separation
End-to-end Networks for Supervised Single-channel Speech Separation
Shrikant Venkataramani
Paris Smaragdis
17
10
0
05 Oct 2018
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for
  Speech Separation
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation
Yi Luo
N. Mesgarani
11
1,745
0
20 Sep 2018
Cracking the cocktail party problem by multi-beam deep attractor network
Cracking the cocktail party problem by multi-beam deep attractor network
Zhuo Chen
Jinyu Li
Xiong Xiao
Takuya Yoshioka
Huaming Wang
Zhenghao Wang
Y. Gong
11
36
0
29 Mar 2018
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