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TasNet: time-domain audio separation network for real-time,
  single-channel speech separation
v1v2 (latest)

TasNet: time-domain audio separation network for real-time, single-channel speech separation

1 November 2017
Yi Luo
N. Mesgarani
ArXiv (abs)PDFHTML

Papers citing "TasNet: time-domain audio separation network for real-time, single-channel speech separation"

33 / 283 papers shown
Filterbank design for end-to-end speech separation
Filterbank design for end-to-end speech separationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Manuel Pariente
Samuele Cornell
Antoine Deleforge
Emmanuel Vincent
312
74
0
23 Oct 2019
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation
WHAMR!: Noisy and Reverberant Single-Channel Speech SeparationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Matthew Maciejewski
Gordon Wichern
E. McQuinn
Jonathan Le Roux
195
208
0
22 Oct 2019
Two-Step Sound Source Separation: Training on Learned Latent Targets
Two-Step Sound Source Separation: Training on Learned Latent TargetsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Efthymios Tzinis
Shrikant Venkataramani
Zhepei Wang
Y. C. Sübakan
Paris Smaragdis
232
69
0
22 Oct 2019
Dual-path RNN: efficient long sequence modeling for time-domain
  single-channel speech separation
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Yi Luo
Zhuo Chen
Takuya Yoshioka
AI4TS
387
893
0
14 Oct 2019
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement
On Loss Functions for Supervised Monaural Time-Domain Speech EnhancementIEEE/ACM Transactions on Audio Speech and Language Processing (TASLP), 2019
Morten Kolbæk
Zheng-Hua Tan
S. H. Jensen
Jesper Jensen
AAML
248
150
0
03 Sep 2019
Discriminative Learning for Monaural Speech Separation Using Deep
  Embedding Features
Discriminative Learning for Monaural Speech Separation Using Deep Embedding FeaturesInterspeech (Interspeech), 2019
Cunhang Fan
B. Liu
Jianhua Tao
Jiangyan Yi
Zhengqi Wen
124
23
0
23 Jul 2019
WHAM!: Extending Speech Separation to Noisy Environments
WHAM!: Extending Speech Separation to Noisy EnvironmentsInterspeech (Interspeech), 2019
Gordon Wichern
J. Antognini
Michael Flynn
Licheng Richard Zhu
E. McQuinn
Dwight Crow
Ethan Manilow
Jonathan Le Roux
209
433
0
02 Jul 2019
Increasing Compactness Of Deep Learning Based Speech Enhancement Models
  With Parameter Pruning And Quantization Techniques
Increasing Compactness Of Deep Learning Based Speech Enhancement Models With Parameter Pruning And Quantization TechniquesIEEE Signal Processing Letters (SPL), 2019
Jyun-Yi Wu
Cheng Yu
Szu-Wei Fu
Chih-Ting Liu
Shao-Yi Chien
Yu Tsao
116
26
0
31 May 2019
Auditory Separation of a Conversation from Background via Attentional
  Gating
Auditory Separation of a Conversation from Background via Attentional Gating
Shariq Mobin
Bruno A. Olshausen
64
2
0
26 May 2019
End-to-End Multi-Channel Speech Separation
End-to-End Multi-Channel Speech Separation
Rongzhi Gu
Jian Wu
Shi-Xiong Zhang
Lianwu Chen
Yong-mei Xu
Meng Yu
Jane Polak Scowcroft
Yuexian Zou
Dong Yu
149
79
0
15 May 2019
A Style Transfer Approach to Source Separation
A Style Transfer Approach to Source SeparationIEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019
Shrikant Venkataramani
Efthymios Tzinis
Paris Smaragdis
OODDRL
178
6
0
01 May 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
118
27
0
16 Apr 2019
An Analysis of Speech Enhancement and Recognition Losses in Limited
  Resources Multi-talker Single Channel Audio-Visual ASR
An Analysis of Speech Enhancement and Recognition Losses in Limited Resources Multi-talker Single Channel Audio-Visual ASR
Luca Pasa
Giovanni Morrone
Leonardo Badino
130
3
0
16 Apr 2019
Audio Source Separation via Multi-Scale Learning with Dilated Dense
  U-Nets
Audio Source Separation via Multi-Scale Learning with Dilated Dense U-Nets
V. Narayanaswamy
Sameeksha Katoch
Jayaraman J. Thiagarajan
Huan Song
A. Spanias
147
7
0
08 Apr 2019
Time Domain Audio Visual Speech Separation
Time Domain Audio Visual Speech Separation
Jian Wu
Yong-mei Xu
Shi-Xiong Zhang
Lianwu Chen
Meng Yu
Lei Xie
Dong Yu
284
135
0
07 Apr 2019
Recursive speech separation for unknown number of speakers
Recursive speech separation for unknown number of speakers
Naoya Takahashi
Sudarsanam Parthasaarathy
Nabarun Goswami
Yuki Mitsufuji
172
89
0
05 Apr 2019
Data-driven design of perfect reconstruction filterbank for DNN-based
  sound source enhancement
Data-driven design of perfect reconstruction filterbank for DNN-based sound source enhancementIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Daiki Takeuchi
Kohei Yatabe
Yuma Koizumi
Yasuhiro Oikawa
Noboru Harada
112
13
0
21 Mar 2019
A Vocoder Based Method For Singing Voice Extraction
A Vocoder Based Method For Singing Voice ExtractionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
Pritish Chandna
Merlijn Blaauw
J. Bonada
E. Gómez
154
9
0
18 Mar 2019
Low-Latency Deep Clustering For Speech Separation
Low-Latency Deep Clustering For Speech Separation
Shanshan Wang
Gaurav Naithani
Maria Sandsten
61
17
0
19 Feb 2019
FurcaNet: An end-to-end deep gated convolutional, long short-term
  memory, deep neural networks for single channel speech separation
FurcaNet: An end-to-end deep gated convolutional, long short-term memory, deep neural networks for single channel speech separation
Ziqiang Shi
Huibin Lin
Liu Liu
Rujie Liu
Shoji Hayakawa
Shouji Harada
Jiqing Han
106
22
0
02 Feb 2019
Is CQT more suitable for monaural speech separation than STFT? an
  empirical study
Is CQT more suitable for monaural speech separation than STFT? an empirical study
Ziqiang Shi
Huibin Lin
Liu Liu
Rujie Liu
Jiqing Han
105
15
0
02 Feb 2019
Deep Learning Based Phase Reconstruction for Speaker Separation: A
  Trigonometric Perspective
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric PerspectiveIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018
Zhong-Qiu Wang
Ke Tan
DeLiang Wang
248
98
0
22 Nov 2018
SDR - half-baked or well done?
SDR - half-baked or well done?IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2018
F. Sánchez-Martínez
M. Esplà-Gomis
Hakan Erdogan
J. Hershey
345
1,475
0
06 Nov 2018
End-to-end music source separation: is it possible in the waveform
  domain?
End-to-end music source separation: is it possible in the waveform domain?
Francesc Lluís
Jordi Pons
Xavier Serra
218
75
0
29 Oct 2018
Phase Harmonic Correlations and Convolutional Neural Networks
Phase Harmonic Correlations and Convolutional Neural Networks
S. Mallat
Sixin Zhang
G. Rochette
136
6
0
29 Oct 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
100
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
549
2,032
0
20 Sep 2018
Deep neural network based speech separation optimizing an objective
  estimator of intelligibility for low latency applications
Deep neural network based speech separation optimizing an objective estimator of intelligibility for low latency applicationsInternational Workshop on Acoustic Signal Enhancement (ASE), 2018
Gaurav Naithani
Joonas Nikunen
Lars Bramsløw
Maria Sandsten
125
18
0
18 Jul 2018
Speech Denoising with Deep Feature Losses
Speech Denoising with Deep Feature LossesInterspeech (Interspeech), 2018
François Germain
Qifeng Chen
V. Koltun
160
168
0
27 Jun 2018
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source
  Separation
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
Daniel Stoller
Sebastian Ewert
S. Dixon
AI4TS
345
659
0
08 Jun 2018
Performance Based Cost Functions for End-to-End Speech Separation
Performance Based Cost Functions for End-to-End Speech Separation
Shrikant Venkataramani
Ryley Higa
Paris Smaragdis
95
21
0
01 Jun 2018
End-to-End Speech Separation with Unfolded Iterative Phase
  Reconstruction
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction
Zhong-Qiu Wang
Jonathan Le Roux
DeLiang Wang
J. Hershey
275
131
0
26 Apr 2018
End-to-end Source Separation with Adaptive Front-Ends
End-to-end Source Separation with Adaptive Front-Ends
Shrikant Venkataramani
Jonah Casebeer
Paris Smaragdis
184
75
0
06 May 2017
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