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. 2107.11222
  4. Cited By
Multi-channel Speech Enhancement with 2-D Convolutional Time-frequency
  Domain Features and a Pre-trained Acoustic Model

Multi-channel Speech Enhancement with 2-D Convolutional Time-frequency Domain Features and a Pre-trained Acoustic Model

23 July 2021
Quandong Wang
Junnan Wu
Zhao Yan
Sichong Qian
Liyong Guo
Lichun Fan
Weiji Zhuang
Peng Gao
Yujun Wang
ArXivPDFHTML

Papers citing "Multi-channel Speech Enhancement with 2-D Convolutional Time-frequency Domain Features and a Pre-trained Acoustic Model"

1 / 1 papers shown
Title
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
Daniel Stoller
Sebastian Ewert
S. Dixon
AI4TS
104
589
0
08 Jun 2018
1