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Attention is All You Need in Speech Separation

Attention is All You Need in Speech Separation

25 October 2020
Cem Subakan
Mirco Ravanelli
Samuele Cornell
Mirko Bronzi
Jianyuan Zhong
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Papers citing "Attention is All You Need in Speech Separation"

19 / 219 papers shown
Title
Continuous Speech Separation with Recurrent Selective Attention Network
Continuous Speech Separation with Recurrent Selective Attention Network
Yixuan Zhang
Zhuo Chen
Jian Wu
Takuya Yoshioka
Peidong Wang
Zhong Meng
Jinyu Li
BDL
11
7
0
28 Oct 2021
Separating Long-Form Speech with Group-Wise Permutation Invariant
  Training
Separating Long-Form Speech with Group-Wise Permutation Invariant Training
Wangyou Zhang
Zhuo Chen
Naoyuki Kanda
Shujie Liu
Jinyu Li
...
Takuya Yoshioka
Xiong Xiao
Zhong Meng
Y. Qian
Furu Wei
VLM
11
6
0
27 Oct 2021
REAL-M: Towards Speech Separation on Real Mixtures
REAL-M: Towards Speech Separation on Real Mixtures
Cem Subakan
Mirco Ravanelli
Samuele Cornell
François Grondin
22
17
0
20 Oct 2021
Progressive Learning for Stabilizing Label Selection in Speech
  Separation with Mapping-based Method
Progressive Learning for Stabilizing Label Selection in Speech Separation with Mapping-based Method
Chenyang Gao
Yue Gu
I. Marsic
38
0
0
20 Oct 2021
Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in
  High-order Latent Domain
Stepwise-Refining Speech Separation Network via Fine-Grained Encoding in High-order Latent Domain
Zengwei Yao
Wenjie Pei
Fanglin Chen
Guangming Lu
David C. Zhang
19
12
0
10 Oct 2021
TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant
  Sound Source Separation
TRUNet: Transformer-Recurrent-U Network for Multi-channel Reverberant Sound Source Separation
Ali Aroudi
Stefan Uhlich
M. Font
ViT
21
5
0
08 Oct 2021
FastMVAE2: On improving and accelerating the fast variational
  autoencoder-based source separation algorithm for determined mixtures
FastMVAE2: On improving and accelerating the fast variational autoencoder-based source separation algorithm for determined mixtures
Li Li
Hirokazu Kameoka
S. Makino
DRL
29
8
0
28 Sep 2021
Convolutive Prediction for Monaural Speech Dereverberation and
  Noisy-Reverberant Speaker Separation
Convolutive Prediction for Monaural Speech Dereverberation and Noisy-Reverberant Speaker Separation
Zhong-Qiu Wang
G. Wichern
Jonathan Le Roux
14
31
0
16 Aug 2021
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using
  linear complexity self-attention for speech enhancement
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement
Yuma Koizumi
Shigeki Karita
Scott Wisdom
Hakan Erdogan
J. Hershey
Llion Jones
M. Bacchiani
19
41
0
30 Jun 2021
Online Self-Attentive Gated RNNs for Real-Time Speaker Separation
Online Self-Attentive Gated RNNs for Real-Time Speaker Separation
Ori Kabeli
Yossi Adi
Zhenyu Tang
Buye Xu
Anurag Kumar
12
2
0
25 Jun 2021
SpeechBrain: A General-Purpose Speech Toolkit
SpeechBrain: A General-Purpose Speech Toolkit
Mirco Ravanelli
Titouan Parcollet
Peter William VanHarn Plantinga
Aku Rouhe
Samuele Cornell
...
William Aris
Hwidong Na
Yan Gao
R. Mori
Yoshua Bengio
10
751
0
08 Jun 2021
Separate but Together: Unsupervised Federated Learning for Speech
  Enhancement from Non-IID Data
Separate but Together: Unsupervised Federated Learning for Speech Enhancement from Non-IID Data
Efthymios Tzinis
Jonah Casebeer
Zhepei Wang
Paris Smaragdis
FedML
24
19
0
11 May 2021
MIMO Self-attentive RNN Beamformer for Multi-speaker Speech Separation
MIMO Self-attentive RNN Beamformer for Multi-speaker Speech Separation
Xiyun Li
Yong-mei Xu
Meng Yu
Shi-Xiong Zhang
Jiaming Xu
Bo Xu
Dong Yu
14
14
0
17 Apr 2021
Configurable Privacy-Preserving Automatic Speech Recognition
Configurable Privacy-Preserving Automatic Speech Recognition
Ranya Aloufi
Hamed Haddadi
David E. Boyle
19
10
0
01 Apr 2021
A Practical Survey on Faster and Lighter Transformers
A Practical Survey on Faster and Lighter Transformers
Quentin Fournier
G. Caron
Daniel Aloise
14
93
0
26 Mar 2021
Compute and memory efficient universal sound source separation
Compute and memory efficient universal sound source separation
Efthymios Tzinis
Zhepei Wang
Xilin Jiang
Paris Smaragdis
18
40
0
03 Mar 2021
TransMask: A Compact and Fast Speech Separation Model Based on
  Transformer
TransMask: A Compact and Fast Speech Separation Model Based on Transformer
Zining Zhang
Bingsheng He
Zhenjie Zhang
21
21
0
19 Feb 2021
Dual-Path Transformer Network: Direct Context-Aware Modeling for
  End-to-End Monaural Speech Separation
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Jing-jing Chen
Qi-rong Mao
Dong Liu
62
280
0
28 Jul 2020
Multi-task self-supervised learning for Robust Speech Recognition
Multi-task self-supervised learning for Robust Speech Recognition
Mirco Ravanelli
Jianyuan Zhong
Santiago Pascual
P. Swietojanski
João Monteiro
J. Trmal
Yoshua Bengio
SSL
189
288
0
25 Jan 2020
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