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Development of Novel Hearing Aids by Using Image Recognition Technology.

Bor-Shing Lin, Ching-Feng Liu, Chih-Jen Cheng

    IEEE Journal of Biomedical and Health Informatics
    |July 12, 2018
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    Summary

    This study introduces a novel hearing aid using image recognition to pinpoint desired speakers, improving speech clarity in noisy environments for hearing-impaired individuals. This method enhances speech signals more effectively than traditional beamforming techniques.

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    Area of Science:

    • Audiology
    • Signal Processing
    • Computer Vision

    Background:

    • Background noise significantly reduces speech intelligibility, especially for hearing-impaired individuals.
    • Current hearing aids struggle to isolate desired speech from competing sound sources.
    • Adaptive beamforming techniques show promise but face challenges in accurately locating target speakers.

    Purpose of the Study:

    • To develop a novel hearing aid system that improves speech enhancement in noisy environments.
    • To overcome the limitations of traditional methods in accurately identifying the desired speaker's location.
    • To enhance speech intelligibility for hearing-impaired listeners in complex acoustic settings.

    Main Methods:

    • A novel hearing aid concept integrating image recognition with adaptive signal enhancement.
    • Utilizing image recognition technology to estimate the precise location of the desired speaker.
    • Employing adaptive signal enhancement to improve the quality of the target speech signal.
    • Replacing the cross-correlation-coefficient method for time difference of arrival (TDOA) estimation with image-based localization.

    Main Results:

    • Achieved a highly accurate time difference of arrival (TDOA) estimation with an absolute error less than 1.25 × 10-4 ms.
    • Demonstrated effective enhancement of the target speech signal, resulting in clearer audio.
    • Successfully improved the ability to isolate and amplify the speech from the intended speaker amidst background noise.

    Conclusions:

    • The proposed hearing aid system, leveraging image recognition for speaker localization, significantly enhances speech intelligibility in noisy conditions.
    • This innovative approach offers a more precise method for TDOA estimation compared to conventional techniques.
    • The system provides a clear speech signal from the target speaker, offering a substantial benefit for hearing-impaired users.