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TransMask: A Compact and Fast Speech Separation Model Based on
  Transformer

TransMask: A Compact and Fast Speech Separation Model Based on Transformer

19 February 2021
Zining Zhang
Bingsheng He
Zhenjie Zhang
ArXiv (abs)PDFHTML

Papers citing "TransMask: A Compact and Fast Speech Separation Model Based on Transformer"

18 / 18 papers shown
Title
Attention is All You Need in Speech Separation
Attention is All You Need in Speech Separation
Cem Subakan
Mirco Ravanelli
Samuele Cornell
Mirko Bronzi
Jianyuan Zhong
95
561
0
25 Oct 2020
Continuous Speech Separation with Conformer
Continuous Speech Separation with Conformer
Sanyuan Chen
Yu-Huan Wu
Zhuo Chen
Jian Wu
Jinyu Li
Takuya Yoshioka
Chengyi Wang
Shujie Liu
M. Zhou
56
130
0
13 Aug 2020
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
85
286
0
28 Jul 2020
Asteroid: the PyTorch-based audio source separation toolkit for
  researchers
Asteroid: the PyTorch-based audio source separation toolkit for researchers
Manuel Pariente
Samuele Cornell
Joris Cosentino
S. Sivasankaran
Efthymios Tzinis
...
Juan M. Martín-Donas
David Ditter
Ariel Frank
Antoine Deleforge
Emmanuel Vincent
68
155
0
08 May 2020
Longformer: The Long-Document Transformer
Longformer: The Long-Document Transformer
Iz Beltagy
Matthew E. Peters
Arman Cohan
RALMVLM
176
4,090
0
10 Apr 2020
Transformer-based Acoustic Modeling for Hybrid Speech Recognition
Transformer-based Acoustic Modeling for Hybrid Speech Recognition
Yongqiang Wang
Abdel-rahman Mohamed
Duc Le
Chunxi Liu
Alex Xiao
...
Xiaohui Zhang
Frank Zhang
Christian Fuegen
Geoffrey Zweig
M. Seltzer
52
249
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 separation
Yi Luo
Zhuo Chen
Takuya Yoshioka
AI4TS
86
771
0
14 Oct 2019
Transformers without Tears: Improving the Normalization of
  Self-Attention
Transformers without Tears: Improving the Normalization of Self-Attention
Toan Q. Nguyen
Julian Salazar
88
231
0
14 Oct 2019
R-Transformer: Recurrent Neural Network Enhanced Transformer
R-Transformer: Recurrent Neural Network Enhanced Transformer
Z. Wang
Yao Ma
Zitao Liu
Jiliang Tang
ViT
68
106
0
12 Jul 2019
Transformers with convolutional context for ASR
Transformers with convolutional context for ASR
Abdel-rahman Mohamed
Dmytro Okhonko
Luke Zettlemoyer
56
168
0
26 Apr 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
61
158
0
25 Apr 2019
Generating Long Sequences with Sparse Transformers
Generating Long Sequences with Sparse Transformers
R. Child
Scott Gray
Alec Radford
Ilya Sutskever
129
1,908
0
23 Apr 2019
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
159
1,794
0
20 Sep 2018
TasNet: time-domain audio separation network for real-time,
  single-channel speech separation
TasNet: time-domain audio separation network for real-time, single-channel speech separation
Yi Luo
N. Mesgarani
73
629
0
01 Nov 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
728
132,199
0
12 Jun 2017
Multi-talker Speech Separation with Utterance-level Permutation
  Invariant Training of Deep Recurrent Neural Networks
Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks
Morten Kolbaek
Dong Yu
Zheng-Hua Tan
Jesper Jensen
57
726
0
18 Mar 2017
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
172
5,037
0
27 Jun 2016
Deep clustering: Discriminative embeddings for segmentation and
  separation
Deep clustering: Discriminative embeddings for segmentation and separation
J. Hershey
Zhuo Chen
Jonathan Le Roux
Shinji Watanabe
62
1,319
0
18 Aug 2015
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