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. 2307.13423
  4. Cited By
Non Intrusive Intelligibility Predictor for Hearing Impaired Individuals
  using Self Supervised Speech Representations

Non Intrusive Intelligibility Predictor for Hearing Impaired Individuals using Self Supervised Speech Representations

25 July 2023
George Close
Thomas Hain
Stefan Goetze
ArXivPDFHTML

Papers citing "Non Intrusive Intelligibility Predictor for Hearing Impaired Individuals using Self Supervised Speech Representations"

3 / 3 papers shown
Title
Speech foundation models on intelligibility prediction for
  hearing-impaired listeners
Speech foundation models on intelligibility prediction for hearing-impaired listeners
Santiago Cuervo
R. Marxer
16
5
0
24 Jan 2024
Pre-trained Speech Representations as Feature Extractors for Speech
  Quality Assessment in Online Conferencing Applications
Pre-trained Speech Representations as Feature Extractors for Speech Quality Assessment in Online Conferencing Applications
Bastiaan Tamm
Helena Balabin
Rik Vandenberghe
Hugo Van hamme
22
9
0
01 Oct 2022
MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only
  on noisy/ reverberated speech
MetricGAN-U: Unsupervised speech enhancement/ dereverberation based only on noisy/ reverberated speech
Szu-Wei Fu
Cheng Yu
Kuo-Hsuan Hung
Mirco Ravanelli
Yu Tsao
20
46
0
12 Oct 2021
1