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. 2005.07631
  4. Cited By
Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet

Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet

15 May 2020
Hongsheng Chen
Teng Xiang
Kai-Jyun Chen
Jing Lu
ArXivPDFHTML

Papers citing "Nonlinear Residual Echo Suppression Based on Multi-stream Conv-TasNet"

6 / 6 papers shown
Title
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
124
1,772
0
20 Sep 2018
Efficient improvement of frequency-domain Kalman filter
Efficient improvement of frequency-domain Kalman filter
Wenzhi Fan
Kai-Jyun Chen
Jing Lu
J. Tao
18
9
0
25 Aug 2018
Supervised Speech Separation Based on Deep Learning: An Overview
Supervised Speech Separation Based on Deep Learning: An Overview
DeLiang Wang
Jitong Chen
SSL
54
1,359
0
24 Aug 2017
MUSAN: A Music, Speech, and Noise Corpus
MUSAN: A Music, Speech, and Noise Corpus
David Snyder
Guoguo Chen
Daniel Povey
53
1,345
0
28 Oct 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
200
18,534
0
06 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
842
149,474
0
22 Dec 2014
1