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Asteroid: the PyTorch-based audio source separation toolkit for
  researchers

Asteroid: the PyTorch-based audio source separation toolkit for researchers

8 May 2020
Manuel Pariente
Samuele Cornell
Joris Cosentino
S. Sivasankaran
Efthymios Tzinis
Jens Heitkaemper
Michel Olvera
Fabian-Robert Stöter
Mathieu Hu
Juan M. Martín-Donas
David Ditter
Ariel Frank
Antoine Deleforge
Emmanuel Vincent
ArXiv (abs)PDFHTMLGithub (2383★)

Papers citing "Asteroid: the PyTorch-based audio source separation toolkit for researchers"

24 / 24 papers shown
Title
What's All the FUSS About Free Universal Sound Separation Data?
What's All the FUSS About Free Universal Sound Separation Data?
Scott Wisdom
Hakan Erdogan
D. Ellis
Romain Serizel
Nicolas Turpault
Eduardo Fonseca
Justin Salamon
Prem Seetharaman
J. Hershey
72
82
0
02 Nov 2020
Wavesplit: End-to-End Speech Separation by Speaker Clustering
Wavesplit: End-to-End Speech Separation by Speaker Clustering
Neil Zeghidour
David Grangier
VLM
90
265
0
20 Feb 2020
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets,
  Subjective Speech Quality and Testing Framework
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework
Chandan K. A. Reddy
Ebrahim Beyrami
Harishchandra Dubey
Vishak Gopal
R. Cheng
...
A. Aazami
Sebastian Braun
Puneet Rana
Sriram Srinivasan
J. Gehrke
93
87
0
23 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
544
42,591
0
03 Dec 2019
Demystifying TasNet: A Dissecting Approach
Demystifying TasNet: A Dissecting Approach
Jens Heitkaemper
Darius Jakobeit
Christoph Boeddeker
Lukas Drude
Reinhold Haeb-Umbach
40
58
0
20 Nov 2019
Onssen: an open-source speech separation and enhancement library
Onssen: an open-source speech separation and enhancement library
Zhaoheng Ni
Michael I. Mandel
VLM
63
6
0
03 Nov 2019
SMS-WSJ: Database, performance measures, and baseline recipe for
  multi-channel source separation and recognition
SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition
Lukas Drude
Jens Heitkaemper
Christoph Boeddeker
Reinhold Haeb-Umbach
51
72
0
30 Oct 2019
A Multi-Phase Gammatone Filterbank for Speech Separation via TasNet
A Multi-Phase Gammatone Filterbank for Speech Separation via TasNet
David Ditter
Timo Gerkmann
47
58
0
25 Oct 2019
Filterbank design for end-to-end speech separation
Filterbank design for end-to-end speech separation
Manuel Pariente
Samuele Cornell
Antoine Deleforge
Emmanuel Vincent
74
69
0
23 Oct 2019
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation
WHAMR!: Noisy and Reverberant Single-Channel Speech Separation
Matthew Maciejewski
Gordon Wichern
E. McQuinn
Jonathan Le Roux
62
184
0
22 Oct 2019
Two-Step Sound Source Separation: Training on Learned Latent Targets
Two-Step Sound Source Separation: Training on Learned Latent Targets
Efthymios Tzinis
Shrikant Venkataramani
Zhepei Wang
Y. C. Sübakan
Paris Smaragdis
49
65
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
775
0
14 Oct 2019
WHAM!: Extending Speech Separation to Noisy Environments
WHAM!: Extending Speech Separation to Noisy Environments
Gordon Wichern
J. Antognini
Michael Flynn
Licheng Richard Zhu
E. McQuinn
Dwight Crow
Ethan Manilow
Jonathan Le Roux
84
353
0
02 Jul 2019
A comprehensive study of speech separation: spectrogram vs waveform
  separation
A comprehensive study of speech separation: spectrogram vs waveform separation
F. Bahmaninezhad
Jian Wu
Rongzhi Gu
Shi-Xiong Zhang
Yong-mei Xu
Meng Yu
Dong Yu
62
81
0
17 May 2019
Universal Sound Separation
Universal Sound Separation
Ilya Kavalerov
Scott Wisdom
Hakan Erdogan
Brian Patton
K. Wilson
Jonathan Le Roux
J. Hershey
48
187
0
08 May 2019
SDR - half-baked or well done?
SDR - half-baked or well done?
F. Sánchez-Martínez
M. Esplà-Gomis
Hakan Erdogan
J. Hershey
153
1,204
0
06 Nov 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
162
1,795
0
20 Sep 2018
Speaker Recognition from Raw Waveform with SincNet
Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli
Yoshua Bengio
175
717
0
29 Jul 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
632
0
01 Nov 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
Deep attractor network for single-microphone speaker separation
Deep attractor network for single-microphone speaker separation
Zhuo Chen
Yi Luo
N. Mesgarani
80
408
0
27 Nov 2016
Single-Channel Multi-Speaker Separation using Deep Clustering
Single-Channel Multi-Speaker Separation using Deep Clustering
Y. Isik
Jonathan Le Roux
Zhuo Chen
Shinji Watanabe
J. Hershey
67
432
0
07 Jul 2016
Permutation Invariant Training of Deep Models for Speaker-Independent
  Multi-talker Speech Separation
Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation
Dong Yu
Morten Kolbæk
Zheng-Hua Tan
Jesper Jensen
103
859
0
01 Jul 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
64
1,321
0
18 Aug 2015
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