Automatic speech recognition predicts speech intelligibility and comprehension for listeners with simulated age-related hearing loss

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Fontan, Lionel, Ferrané, Isabelle, Farinas, Jérôme, Pinquier, Julien, Tardieu, Julien, Magnen, Cynthia, Gaillard, Pascal, Aumont, Xavier and Füllgrabe, Christian (2017) Automatic speech recognition predicts speech intelligibility and comprehension for listeners with simulated age-related hearing loss. Journal of Speech, Language, and Hearing Research . pp. 1-12. ISSN 1558-9102

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Abstract

Purpose: To assess speech processing for listeners with simulated age-related hearing loss (ARHL) and to investigate whether the observed performance can be replicated using an Automatic Speech Recognition (ASR) system. The long-term goal of this research is to develop a system that will assist audiologists/hearing-aid dispensers in the fine-tuning of hearing aids.

Method: Sixty young normal-hearing participants listened to speech materials mimicking the perceptual consequences of ARHL at different levels of severity. Two intelligibility tests (repetition of words and sentences) and one comprehension test (responding to oral commands by moving virtual objects) were administered. Several language models were developed and used by the ASR system in order to fit human performances.

Results: Strong significant positive correlations were observed between human and ASR scores, with coefficients up to .99. However, the spectral smearing used to simulate losses in frequency selectivity caused larger declines in ASR performance than in human performance.

Conclusion: Both intelligibility and comprehension scores for listeners with simulated ARHL are highly correlated with the performances of an ASR-based system. In the future, it needs to be determined if the ASR system is similarly successful in predicting speech processing in noise and by older people with ARHL.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/877425
Keywords: Hearing loss, Speech recognition, Amplification or hearing aids, Assessment, Speech perception
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Clinical Neuroscience
University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine
Identification Number: https://doi.org/10.1044/2017_JSLHR-S-16-0269
Depositing User: Turrell, Jenny
Date Deposited: 11 Sep 2017 13:41
Last Modified: 04 May 2020 19:00
URI: https://eprints.nottingham.ac.uk/id/eprint/44905

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