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. 2010.15174
  4. Cited By
Improving Perceptual Quality by Phone-Fortified Perceptual Loss using
  Wasserstein Distance for Speech Enhancement

Improving Perceptual Quality by Phone-Fortified Perceptual Loss using Wasserstein Distance for Speech Enhancement

28 October 2020
Tsun-An Hsieh
Cheng Yu
Szu-Wei Fu
Xugang Lu
Yu Tsao
ArXivPDFHTML

Papers citing "Improving Perceptual Quality by Phone-Fortified Perceptual Loss using Wasserstein Distance for Speech Enhancement"

4 / 4 papers shown
Title
All by Myself: Learning Individualized Competitive Behaviour with a
  Contrastive Reinforcement Learning optimization
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization
Pablo V. A. Barros
A. Sciutti
SSL
33
3
0
02 Oct 2023
3M: An Effective Multi-view, Multi-granularity, and Multi-aspect
  Modeling Approach to English Pronunciation Assessment
3M: An Effective Multi-view, Multi-granularity, and Multi-aspect Modeling Approach to English Pronunciation Assessment
Fu-An Chao
Tien-Hong Lo
Tzu-I Wu
Yao-Ting Sung
Berlin Chen
34
41
0
19 Aug 2022
Perceptual Loss with Recognition Model for Single-Channel Enhancement
  and Robust ASR
Perceptual Loss with Recognition Model for Single-Channel Enhancement and Robust ASR
Peter William VanHarn Plantinga
Deblin Bagchi
Eric Fosler-Lussier
46
10
0
11 Dec 2021
Restoring degraded speech via a modified diffusion model
Restoring degraded speech via a modified diffusion model
Jianwei Zhang
Suren Jayasuriya
Visar Berisha
DiffM
20
19
0
22 Apr 2021
1