ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1905.03330
  4. Cited By
Universal Sound Separation

Universal Sound Separation

8 May 2019
Ilya Kavalerov
Scott Wisdom
Hakan Erdogan
Brian Patton
K. Wilson
Jonathan Le Roux
J. Hershey
ArXivPDFHTML

Papers citing "Universal Sound Separation"

18 / 18 papers shown
Title
Language-Queried Target Sound Extraction Without Parallel Training Data
Language-Queried Target Sound Extraction Without Parallel Training Data
Hao Ma
Zhiyuan Peng
Xu Li
Yukai Li
Mingjie Shao
Qiuqiang Kong
Xuelong Li
VLM
109
2
0
14 Sep 2024
Fixup Initialization: Residual Learning Without Normalization
Fixup Initialization: Residual Learning Without Normalization
Hongyi Zhang
Yann N. Dauphin
Tengyu Ma
ODL
AI4CE
63
348
0
27 Jan 2019
Differentiable Consistency Constraints for Improved Deep Speech
  Enhancement
Differentiable Consistency Constraints for Improved Deep Speech Enhancement
Scott Wisdom
J. Hershey
K. Wilson
J. Thorpe
Michael Chinen
Brian Patton
Rif A. Saurous
31
119
0
20 Nov 2018
Exploring Tradeoffs in Models for Low-latency Speech Enhancement
Exploring Tradeoffs in Models for Low-latency Speech Enhancement
K. Wilson
Michael Chinen
J. Thorpe
Brian Patton
J. Hershey
Rif A. Saurous
Jan Skoglund
R. Lyon
22
48
0
16 Nov 2018
SDR - half-baked or well done?
SDR - half-baked or well done?
F. Sánchez-Martínez
M. Esplà-Gomis
Hakan Erdogan
J. Hershey
114
1,180
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
118
1,772
0
20 Sep 2018
MMDenseLSTM: An efficient combination of convolutional and recurrent
  neural networks for audio source separation
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation
Naoya Takahashi
Nabarun Goswami
Yuki Mitsufuji
59
143
0
07 May 2018
A joint separation-classification model for sound event detection of
  weakly labelled data
A joint separation-classification model for sound event detection of weakly labelled data
Qiuqiang Kong
Yong-mei Xu
Wenwu Wang
Mark D. Plumbley
31
29
0
08 Nov 2017
Generative Adversarial Source Separation
Generative Adversarial Source Separation
Cem Subakan
Paris Smaragdis
GAN
145
70
0
30 Oct 2017
Supervised Speech Separation Based on Deep Learning: An Overview
Supervised Speech Separation Based on Deep Learning: An Overview
DeLiang Wang
Jitong Chen
SSL
45
1,359
0
24 Aug 2017
Speaker-independent Speech Separation with Deep Attractor Network
Speaker-independent Speech Separation with Deep Attractor Network
Yi Luo
Zhuo Chen
N. Mesgarani
32
247
0
12 Jul 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
99
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
44
725
0
18 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
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
55
429
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
74
854
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
44
1,316
0
18 Aug 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
736
149,474
0
22 Dec 2014
1