Journal article
Output signal-to-noise ratio and speech perception in noise: effects of algorithm
International journal of audiology, Vol.56(8), pp.568-579
01/01/2017
DOI: 10.1080/14992027.2017.1305128
PMCID: PMC6076442
PMID: 28355951
Abstract
Objective: The aims of this study were to: 1) quantify the amount of change in signal-to-noise ratio (SNR) as a result of compression and noise reduction (NR) processing in devices from three hearing aid (HA) manufacturers and 2) use the SNR changes to predict changes in speech perception. We hypothesised that the SNR change would differ across processing type and manufacturer, and that improvements in SNR would relate to improvements in performance. Design: SNR at the output of the HAs was quantified using a phase-inversion technique. A linear mixed model was used to determine whether changes in SNR across HA conditions were predictive of changes in aided speech perception in noise. Study sample: Two groups participated: 25 participants had normal-hearing and 25 participants had mild to moderately severe sensorineural hearing loss. Results: The HAs programmed for both groups changed the SNR by a small, but statistically significant amount. Significant interactions in SNR changes were observed between HA devices and processing types. However, the change in SNR was not predictive of changes in speech perception. Conclusion: Although observed significant changes in SNR resulting from compression and NR did not convert to changes in speech perception, these algorithms may serve other purposes.
Details
- Title: Subtitle
- Output signal-to-noise ratio and speech perception in noise: effects of algorithm
- Creators
- Christi W Miller - University of WashingtonRuth A Bentler - University of IowaYu-Hsiang Wu - University of IowaJames Lewis - University of Tennessee Health Science CenterKelly Tremblay - University of Washington
- Resource Type
- Journal article
- Publication Details
- International journal of audiology, Vol.56(8), pp.568-579
- DOI
- 10.1080/14992027.2017.1305128
- PMID
- 28355951
- PMCID
- PMC6076442
- NLM abbreviation
- Int J Audiol
- ISSN
- 1499-2027
- eISSN
- 1708-8186
- Publisher
- TAYLOR & FRANCIS LTD
- Number of pages
- 12
- Grant note
- NIDCD 5R01DC012769; P30DC004661 / National Institutes of Health
- Language
- English
- Date published
- 01/01/2017
- Academic Unit
- Communication Sciences and Disorders; Otolaryngology
- Record Identifier
- 9984258843002771
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