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Multichannel-based learning for audio object extraction

Multichannel-based learning for audio object extraction

11 February 2021
Daniel Arteaga
Jordi Pons
    DiffM
ArXivPDFHTML

Papers citing "Multichannel-based learning for audio object extraction"

17 / 17 papers shown
Title
FSD50K: An Open Dataset of Human-Labeled Sound Events
FSD50K: An Open Dataset of Human-Labeled Sound Events
Eduardo Fonseca
Xavier Favory
Jordi Pons
F. Font
Xavier Serra
67
453
0
01 Oct 2020
Unsupervised Sound Separation Using Mixture Invariant Training
Unsupervised Sound Separation Using Mixture Invariant Training
Scott Wisdom
Efthymios Tzinis
Hakan Erdogan
Ron J. Weiss
K. Wilson
J. Hershey
56
27
0
23 Jun 2020
An empirical study of Conv-TasNet
An empirical study of Conv-TasNet
Berkan Kadıoğlu
Michael Horgan
Xiaoyu Liu
Jordi Pons
Dan Darcy
Vivek Kumar
35
44
0
20 Feb 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
251
289
0
25 Jan 2020
DDSP: Differentiable Digital Signal Processing
DDSP: Differentiable Digital Signal Processing
Jesse Engel
Lamtharn Hantrakul
Chenjie Gu
Adam Roberts
DiffM
143
378
0
14 Jan 2020
Music Source Separation in the Waveform Domain
Music Source Separation in the Waveform Domain
Alexandre Défossez
Nicolas Usunier
Léon Bottou
Francis R. Bach
111
272
0
27 Nov 2019
Universal Sound Separation
Universal Sound Separation
Ilya Kavalerov
Scott Wisdom
Hakan Erdogan
Brian Patton
K. Wilson
Jonathan Le Roux
J. Hershey
44
187
0
08 May 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
54
158
0
25 Apr 2019
Learning Problem-agnostic Speech Representations from Multiple
  Self-supervised Tasks
Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks
Santiago Pascual
Mirco Ravanelli
Joan Serrà
Antonio Bonafonte
Yoshua Bengio
SSL
99
251
0
06 Apr 2019
Challenging Common Assumptions in the Unsupervised Learning of
  Disentangled Representations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
111
1,466
0
29 Nov 2018
SDR - half-baked or well done?
SDR - half-baked or well done?
F. Sánchez-Martínez
M. Esplà-Gomis
Hakan Erdogan
J. Hershey
138
1,191
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
55
73
0
29 Oct 2018
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task
  Description, Dataset, and Baseline
General-purpose Tagging of Freesound Audio with AudioSet Labels: Task Description, Dataset, and Baseline
Eduardo Fonseca
Manoj Plakal
F. Font
D. Ellis
Xavier Favory
Jordi Pons
Xavier Serra
71
148
0
26 Jul 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
128
595
0
08 Jun 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
69
628
0
01 Nov 2017
A Wavenet for Speech Denoising
A Wavenet for Speech Denoising
Dario Rethage
Jordi Pons
Xavier Serra
96
431
0
22 Jun 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.4K
149,842
0
22 Dec 2014
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