Literature DB >> 28838277

Tolerable delay for speech production and perception: effects of hearing ability and experience with hearing aids.

Tobias Goehring1, Josie L Chapman1, Stefan Bleeck1, Jessica J M Monaghan1.   

Abstract

OBJECTIVE: Processing delay is one of the important factors that limit the development of novel algorithms for hearing devices. In this study, both normal-hearing listeners and listeners with hearing loss were tested for their tolerance of processing delay up to 50 ms using a real-time setup for own-voice and external-voice conditions based on linear processing to avoid confounding effects of time-dependent gain.
DESIGN: Participants rated their perceived subjective annoyance for each condition on a 7-point Likert scale. STUDY SAMPLE: Twenty normal-hearing participants and twenty participants with a range of mild to moderate hearing losses.
RESULTS: Delay tolerance was significantly greater for the participants with hearing loss in two out of three voice conditions. The average slopes of annoyance ratings were negatively correlated with the degree of hearing loss across participants. A small trend of higher tolerance of delay by experienced users of hearing aids in comparison to new users was not significant.
CONCLUSION: The increased tolerance of processing delay for speech production and perception with hearing loss and reduced sensitivity to changes in delay with stronger hearing loss may be beneficial for novel algorithms for hearing devices but the setup used in this study differed from commercial hearing aids.

Entities:  

Keywords:  Speech perception; hearing aid satisfaction; hearing aids; psychoacoustics/hearing science

Mesh:

Year:  2017        PMID: 28838277     DOI: 10.1080/14992027.2017.1367848

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  4 in total

1.  Smartphone-Based Hearing Aid Compression and Noise Reduction.

Authors:  Aoxin Ni; Nasser Kehtarnavaz
Journal:  Sensors (Basel)       Date:  2022-04-26       Impact factor: 3.847

2.  Effect of Sound Coding Strategies on Music Perception with a Cochlear Implant.

Authors:  Gaëlle Leterme; Caroline Guigou; Geoffrey Guenser; Emmanuel Bigand; Alexis Bozorg Grayeli
Journal:  J Clin Med       Date:  2022-07-29       Impact factor: 4.964

3.  Using recurrent neural networks to improve the perception of speech in non-stationary noise by people with cochlear implants.

Authors:  Tobias Goehring; Mahmoud Keshavarzi; Robert P Carlyon; Brian C J Moore
Journal:  J Acoust Soc Am       Date:  2019-07       Impact factor: 1.840

4.  An effectively causal deep learning algorithm to increase intelligibility in untrained noises for hearing-impaired listeners.

Authors:  Eric W Healy; Ke Tan; Eric M Johnson; DeLiang Wang
Journal:  J Acoust Soc Am       Date:  2021-06       Impact factor: 2.482

  4 in total

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