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Speech foundation models on intelligibility prediction for
  hearing-impaired listeners

Speech foundation models on intelligibility prediction for hearing-impaired listeners

24 January 2024
Santiago Cuervo
R. Marxer
ArXivPDFHTML

Papers citing "Speech foundation models on intelligibility prediction for hearing-impaired listeners"

5 / 5 papers shown
Title
HAAQI-Net: A Non-intrusive Neural Music Audio Quality Assessment Model for Hearing Aids
HAAQI-Net: A Non-intrusive Neural Music Audio Quality Assessment Model for Hearing Aids
Dyah A. M. G. Wisnu
Stefano Rini
Ryandhimas E. Zezario
Hsin-Min Wang
Yu Tsao
49
0
0
10 Jan 2025
A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models
A Study on Zero-shot Non-intrusive Speech Assessment using Large Language Models
Ryandhimas E. Zezario
Sabato Marco Siniscalchi
Hsin-Min Wang
Yu Tsao
26
2
0
16 Sep 2024
Using Speech Foundational Models in Loss Functions for Hearing Aid
  Speech Enhancement
Using Speech Foundational Models in Loss Functions for Hearing Aid Speech Enhancement
Robert Sutherland
George Close
Thomas Hain
Stefan Goetze
Jon Barker
24
1
0
18 Jul 2024
Transfer Learning from Whisper for Microscopic Intelligibility
  Prediction
Transfer Learning from Whisper for Microscopic Intelligibility Prediction
Paul Best
Santiago Cuervo
R. Marxer
20
1
0
02 Apr 2024
Non-Intrusive Speech Intelligibility Prediction for Hearing Aids using
  Whisper and Metadata
Non-Intrusive Speech Intelligibility Prediction for Hearing Aids using Whisper and Metadata
Ryandhimas E. Zezario
Fei Chen
C. Fuh
H. Wang
Yu Tsao
29
1
0
18 Sep 2023
1