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. 2309.12608
  4. Cited By
SPGM: Prioritizing Local Features for enhanced speech separation
  performance

SPGM: Prioritizing Local Features for enhanced speech separation performance

22 September 2023
J. Yip
Shengkui Zhao
Yukun Ma
Chongjia Ni
Chong Zhang
Hao Wang
Trung Hieu Nguyen
Kun Zhou
Dianwen Ng
E. Chng
B. Ma
    MoE
    VLM
ArXivPDFHTML

Papers citing "SPGM: Prioritizing Local Features for enhanced speech separation performance"

5 / 5 papers shown
Title
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural
  Speaker Separation
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation
Zhong-Qiu Wang
Samuele Cornell
Shukjae Choi
Younglo Lee
Byeonghak Kim
Shinji Watanabe
66
95
0
08 Sep 2022
SepIt: Approaching a Single Channel Speech Separation Bound
SepIt: Approaching a Single Channel Speech Separation Bound
Shahar Lutati
Eliya Nachmani
Lior Wolf
VLM
40
27
0
24 May 2022
Exploring Self-Attention Mechanisms for Speech Separation
Exploring Self-Attention Mechanisms for Speech Separation
Cem Subakan
Mirco Ravanelli
Samuele Cornell
François Grondin
Mirko Bronzi
29
23
0
06 Feb 2022
Speech Separation Using an Asynchronous Fully Recurrent Convolutional
  Neural Network
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
Xiaolin Hu
Kai Li
Weiyi Zhang
Yi Luo
Jean-Marie Lemercier
Timo Gerkmann
44
47
0
04 Dec 2021
Dual-Path Transformer Network: Direct Context-Aware Modeling for
  End-to-End Monaural Speech Separation
Dual-Path Transformer Network: Direct Context-Aware Modeling for End-to-End Monaural Speech Separation
Jing-jing Chen
Qi-rong Mao
Dong Liu
54
280
0
28 Jul 2020
1