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. 1905.09754
  4. Cited By
A Perceptual Weighting Filter Loss for DNN Training in Speech
  Enhancement

A Perceptual Weighting Filter Loss for DNN Training in Speech Enhancement

23 May 2019
Ziyue Zhao
Samy Elshamy
Tim Fingscheidt
ArXivPDFHTML

Papers citing "A Perceptual Weighting Filter Loss for DNN Training in Speech Enhancement"

2 / 2 papers shown
Title
Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ
  Does, But ACR Listening Tests Don't
Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't
Ziyi Xu
Maximilian Strake
Tim Fingscheidt
27
3
0
04 May 2022
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End
  Neural Audio Coding
Psychoacoustic Calibration of Loss Functions for Efficient End-to-End Neural Audio Coding
Kai Zhen
Mi Suk Lee
Jongmo Sung
Seung-Wha Beack
Minje Kim
40
21
0
31 Dec 2020
1