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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

8 June 2018
Daniel Stoller
Sebastian Ewert
S. Dixon
    AI4TS
ArXivPDFHTML

Papers citing "Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation"

20 / 20 papers shown
Title
Training-Free Multi-Step Audio Source Separation
Training-Free Multi-Step Audio Source Separation
Yongyi Zang
Jingyi Li
Qiuqiang Kong
155
0
0
26 May 2025
Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing
Artifact-free Sound Quality in DNN-based Closed-loop Systems for Audio Processing
chuan Wen
Guy Torfs
Sarah Verhulst
63
0
0
17 Feb 2025
DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
Tom Dooney
Harsh Narola
Stefano Bromuri
R. L. Curier
C. Broeck
Sarah Caudill
D. Tan
105
0
0
30 Jan 2025
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning
CleanUMamba: A Compact Mamba Network for Speech Denoising using Channel Pruning
Sjoerd Groot
Qinyu Chen
Jan C. van Gemert
Chang Gao
Mamba
344
0
0
14 Oct 2024
A Lightweight and Real-Time Binaural Speech Enhancement Model with Spatial Cues Preservation
A Lightweight and Real-Time Binaural Speech Enhancement Model with Spatial Cues Preservation
Jingyuan Wang
Jie Zhang
Shihao Chen
Miao Sun
38
0
0
19 Sep 2024
Compositional Audio Representation Learning
Compositional Audio Representation Learning
Sripathi Sridhar
Mark Cartwright
AI4TS
64
0
0
15 Sep 2024
RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge
RF Challenge: The Data-Driven Radio Frequency Signal Separation Challenge
A. Lancho
Amir Weiss
Gary C. F. Lee
T. Jayashankar
Binoy G. Kurien
Yury Polyanskiy
Gregory W. Wornell
63
0
0
13 Sep 2024
Deep Learning Based Source Separation Applied To Choir Ensembles
Deep Learning Based Source Separation Applied To Choir Ensembles
Darius Petermann
Pritish Chandna
Helena Cuesta
J. Bonada
E. Gómez
29
23
0
17 Aug 2020
The 2018 Signal Separation Evaluation Campaign
The 2018 Signal Separation Evaluation Campaign
Fabian-Robert Stöter
Antoine Liutkus
N. Ito
36
283
0
17 Apr 2018
Raw Multi-Channel Audio Source Separation using Multi-Resolution
  Convolutional Auto-Encoders
Raw Multi-Channel Audio Source Separation using Multi-Resolution Convolutional Auto-Encoders
Emad M. Grais
D. Ward
Mark D. Plumbley
32
41
0
02 Mar 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
61
626
0
01 Nov 2017
Adversarial Semi-Supervised Audio Source Separation applied to Singing
  Voice Extraction
Adversarial Semi-Supervised Audio Source Separation applied to Singing Voice Extraction
Daniel Stoller
Sebastian Ewert
S. Dixon
52
72
0
31 Oct 2017
A Wavenet for Speech Denoising
A Wavenet for Speech Denoising
Dario Rethage
Jordi Pons
Xavier Serra
90
431
0
22 Jun 2017
End-to-end Source Separation with Adaptive Front-Ends
End-to-end Source Separation with Adaptive Front-Ends
Shrikant Venkataramani
Jonah Casebeer
Paris Smaragdis
26
72
0
06 May 2017
SEGAN: Speech Enhancement Generative Adversarial Network
SEGAN: Speech Enhancement Generative Adversarial Network
Santiago Pascual
Antonio Bonafonte
Joan Serrà
GAN
52
1,139
0
28 Mar 2017
Deep Clustering and Conventional Networks for Music Separation: Stronger
  Together
Deep Clustering and Conventional Networks for Music Separation: Stronger Together
Yi Luo
Zhuo Chen
J. Hershey
Jonathan Le Roux
N. Mesgarani
45
162
0
18 Nov 2016
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
275
7,361
0
12 Sep 2016
A guide to convolution arithmetic for deep learning
A guide to convolution arithmetic for deep learning
Vincent Dumoulin
Francesco Visin
FAtt
3DH
HAI
34
1,536
0
23 Mar 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.1K
76,547
0
18 May 2015
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a
  Convolutional Deep Neural Network
Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network
Andrew J. R. Simpson
Gerard Roma
Mark D. Plumbley
53
102
0
17 Apr 2015
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