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Deep neural network techniques for monaural speech enhancement: state of
  the art analysis
v1v2 (latest)

Deep neural network techniques for monaural speech enhancement: state of the art analysis

1 December 2022
P. Ochieng
ArXiv (abs)PDFHTML

Papers citing "Deep neural network techniques for monaural speech enhancement: state of the art analysis"

25 / 125 papers shown
Title
A Wavenet for Speech Denoising
A Wavenet for Speech Denoising
Dario Rethage
Jordi Pons
Xavier Serra
141
431
0
22 Jun 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
832
132,725
0
12 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
69
72
0
06 May 2017
Complex spectrogram enhancement by convolutional neural network with
  multi-metrics learning
Complex spectrogram enhancement by convolutional neural network with multi-metrics learning
Szu-Wei Fu
Ting-Yao Hu
Yu Tsao
Xugang Lu
81
178
0
27 Apr 2017
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
1.2K
20,918
0
17 Apr 2017
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
230
9,568
0
31 Mar 2017
SEGAN: Speech Enhancement Generative Adversarial Network
SEGAN: Speech Enhancement Generative Adversarial Network
Santiago Pascual
Antonio Bonafonte
Joan Serrà
GAN
96
1,149
0
28 Mar 2017
Single Channel Audio Source Separation using Convolutional Denoising
  Autoencoders
Single Channel Audio Source Separation using Convolutional Denoising Autoencoders
Emad M. Grais
Mark D. Plumbley
184
108
0
23 Mar 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
68
726
0
18 Mar 2017
NIPS 2016 Tutorial: Generative Adversarial Networks
NIPS 2016 Tutorial: Generative Adversarial Networks
Ian Goodfellow
GAN
181
1,727
0
31 Dec 2016
Deep attractor network for single-microphone speaker separation
Deep attractor network for single-microphone speaker separation
Zhuo Chen
Yi Luo
N. Mesgarani
92
408
0
27 Nov 2016
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
68
162
0
18 Nov 2016
Temporal Convolutional Networks for Action Segmentation and Detection
Temporal Convolutional Networks for Action Segmentation and Detection
Colin S. Lea
Michael D. Flynn
René Vidal
A. Reiter
Gregory Hager
114
1,499
0
16 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
413
7,425
0
12 Sep 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
82
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
105
859
0
01 Jul 2016
Speech Enhancement In Multiple-Noise Conditions using Deep Neural
  Networks
Speech Enhancement In Multiple-Noise Conditions using Deep Neural Networks
Anurag Kumar
D. Florêncio
69
122
0
09 May 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
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
420
9,527
0
28 May 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Deep Unsupervised Learning using Nonequilibrium Thermodynamics
Jascha Narain Sohl-Dickstein
Eric A. Weiss
Niru Maheswaranathan
Surya Ganguli
SyDaDiffM
315
7,035
0
12 Mar 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
367
19,764
0
09 Mar 2015
Joint Optimization of Masks and Deep Recurrent Neural Networks for
  Monaural Source Separation
Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation
Po-Sen Huang
Minje Kim
M. Hasegawa-Johnson
Paris Smaragdis
93
448
0
13 Feb 2015
Learning Phrase Representations using RNN Encoder-Decoder for
  Statistical Machine Translation
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Kyunghyun Cho
B. V. Merrienboer
Çağlar Gülçehre
Dzmitry Bahdanau
Fethi Bougares
Holger Schwenk
Yoshua Bengio
AIMat
1.1K
23,414
0
03 Jun 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
486
16,916
0
20 Dec 2013
Deep neural networks for single channel source separation
Deep neural networks for single channel source separation
Emad M. Grais
M. U. Sen
Hakan Erdogan
72
136
0
12 Nov 2013
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