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Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

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Behavioral Validation of the Smartphone for Remote Microphone Technology.

Stephanie Tittle¹, Linda M Thibodeau¹, Issa Panahi²

¹Department of Speech, Language, and Hearing Science, School of Behavioral and Brain Sciences, University of Texas at Dallas, Dallas, Texas.

Seminars in Hearing

|December 28, 2020

Summary

Smartphone apps can significantly improve speech recognition in noisy environments for individuals with normal or impaired hearing. The SHARP-2 app, used with hearing aids, demonstrated notable benefits for most participants.

Keywords:

hearing aids hearing impaired remote microphone technology smartphone

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Area of Science:

Audiology and Hearing Science
Mobile Health Technology
Speech Processing

Background:

Speech recognition in noise is a significant challenge for individuals with hearing impairments.
Existing hearing aid technology may not fully address complex listening environments.
Smartphone integration offers potential for enhanced assistive listening solutions.

Purpose of the Study:

To evaluate the effectiveness of the Smartphone Hearing Aid Research Project Version 2 (SHARP-2) app in improving speech recognition in noise.
To assess the app's performance across different hearing aid manufacturers and user hearing statuses (normal vs. impaired).

Main Methods:

Participants (normal and impaired hearing) used three types of wireless-connected hearing aids (HAs) with an iPhone.
A speech recognition task was performed in a noisy environment under two conditions: HAs alone and HAs with the SHARP-2 app.
Varying signal-to-noise ratios (-10 to +10) were used with a constant speech signal level (65 dBA).

Main Results:

The SHARP-2 app improved speech recognition for most participants across all tested hearing aid brands.
Greatest improvements were observed in individuals with normal hearing (33.56%) and impaired hearing (22.21%) using specific 'made-for-all' phones HAs.
The app demonstrated measurable benefits, particularly when the listening task was challenging with HAs alone.

Conclusions:

Smartphone-based applications like SHARP-2 are effective in enhancing speech recognition in challenging acoustic conditions.
This technology presents an economical approach to improving communication for diverse user groups.
Continued development of such mobile health solutions is warranted for broader accessibility and benefit.