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Deep Clustering and Conventional Networks for Music Separation: Stronger
  Together

Deep Clustering and Conventional Networks for Music Separation: Stronger Together

18 November 2016
Yi Luo
Zhuo Chen
J. Hershey
Jonathan Le Roux
N. Mesgarani
ArXivPDFHTML

Papers citing "Deep Clustering and Conventional Networks for Music Separation: Stronger Together"

13 / 13 papers shown
Title
Deep neural network techniques for monaural speech enhancement: state of
  the art analysis
Deep neural network techniques for monaural speech enhancement: state of the art analysis
P. Ochieng
28
21
0
01 Dec 2022
SoundBeam: Target sound extraction conditioned on sound-class labels and
  enrollment clues for increased performance and continuous learning
SoundBeam: Target sound extraction conditioned on sound-class labels and enrollment clues for increased performance and continuous learning
Marc Delcroix
Jorge Bennasar Vázquez
Tsubasa Ochiai
K. Kinoshita
Yasunori Ohishi
S. Araki
VLM
22
31
0
08 Apr 2022
LightSAFT: Lightweight Latent Source Aware Frequency Transform for
  Source Separation
LightSAFT: Lightweight Latent Source Aware Frequency Transform for Source Separation
Yeong-Seok Jeong
Jinsung Kim
Woosung Choi
Jaehwa Chung
Soonyoung Jung
39
2
0
24 Nov 2021
Encoder-Decoder Based Attractors for End-to-End Neural Diarization
Encoder-Decoder Based Attractors for End-to-End Neural Diarization
Shota Horiguchi
Yusuke Fujita
Shinji Watanabe
Yawen Xue
Leibny Paola García-Perera
37
64
0
20 Jun 2021
A Study of Transfer Learning in Music Source Separation
A Study of Transfer Learning in Music Source Separation
Andreas Bugler
Bryan Pardo
Prem Seetharaman
21
3
0
23 Oct 2020
Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss
Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss
Yi Luo
N. Mesgarani
18
29
0
27 Mar 2020
Universal Sound Separation
Universal Sound Separation
Ilya Kavalerov
Scott Wisdom
Hakan Erdogan
Brian Patton
K. Wilson
Jonathan Le Roux
J. Hershey
11
184
0
08 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
20
25
0
16 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
16
1,746
0
20 Sep 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
104
588
0
08 Jun 2018
Deep Speech Denoising with Vector Space Projections
Deep Speech Denoising with Vector Space Projections
Jeff Hetherly
Paul Gamble
M. Barrios
Cory Stephenson
Karl S. Ni
11
0
0
27 Apr 2018
An Overview of Lead and Accompaniment Separation in Music
An Overview of Lead and Accompaniment Separation in Music
Z. Rafii
Antoine Liutkus
Fabian-Robert Stöter
S. I. Mimilakis
D. Fitzgerald
Bryan Pardo
19
102
0
23 Apr 2018
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach
Jointly Detecting and Separating Singing Voice: A Multi-Task Approach
Daniel Stoller
Sebastian Ewert
S. Dixon
13
21
0
05 Apr 2018
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