Skip to main content

Research Repository

See what's under the surface

Advanced Search

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

Fontan, Lionel; Ferrané, Isabelle; Farinas, Jérôme; Pinquier, Julien; Tardieu, Julien; Magnen, Cynthia; Gaillard, Pascal; Aumont, Xavier; Füllgrabe, Christian

Authors

Lionel Fontan

Isabelle Ferrané

Jérôme Farinas

Julien Pinquier

Julien Tardieu

Cynthia Magnen

Pascal Gaillard

Xavier Aumont

Christian Füllgrabe christian.fullgrabe@nottingham.ac.uk



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.

Journal Article Type Article
Journal Journal of Speech, Language, and Hearing Research
Print ISSN 1092-4388
Electronic ISSN 1558-9102
Publisher American Speech-Language-Hearing Association
Peer Reviewed Peer Reviewed
APA6 Citation Fontan, L., Ferrané, I., Farinas, J., Pinquier, J., Tardieu, J., Magnen, C., …Füllgrabe, C. (in press). Automatic speech recognition predicts speech intelligibility and comprehension for listeners with simulated age-related hearing loss. Journal of Speech, Language, and Hearing Research, https://doi.org/10.1044/2017_JSLHR-S-16-0269
DOI https://doi.org/10.1044/2017_JSLHR-S-16-0269
Keywords Hearing loss, Speech recognition, Amplification or hearing aids, Assessment, Speech perception
Publisher URL http://jslhr.pubs.asha.org/article.aspx?articleid=2648888
Copyright Statement Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0

Files

Fontan_et_al-2017-Journal_of_Speech,_Language,_and_Hearing_Research.pdf (364 Kb)
PDF

Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by/4.0





You might also like



Downloadable Citations

;