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. 1911.10764
  4. Cited By
Invertible DNN-based nonlinear time-frequency transform for speech
  enhancement

Invertible DNN-based nonlinear time-frequency transform for speech enhancement

25 November 2019
Daiki Takeuchi
Kohei Yatabe
Yuma Koizumi
Yasuhiro Oikawa
N. Harada
ArXivPDFHTML

Papers citing "Invertible DNN-based nonlinear time-frequency transform for speech enhancement"

3 / 3 papers shown
Title
Stable Training of DNN for Speech Enhancement based on
  Perceptually-Motivated Black-Box Cost Function
Stable Training of DNN for Speech Enhancement based on Perceptually-Motivated Black-Box Cost Function
M. Kawanaka
Yuma Koizumi
Ryoichi Miyazaki
Kohei Yatabe
AAML
21
22
0
14 Feb 2020
Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention
Speech Enhancement using Self-Adaptation and Multi-Head Self-Attention
Yuma Koizumi
Kohei Yatabe
Marc Delcroix
Yoshiki Masuyama
Daiki Takeuchi
20
125
0
14 Feb 2020
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
588
0
08 Jun 2018
1