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    Area of Science:

    • Audio Signal Processing
    • Biomedical Engineering
    • Hearing Science

    Background:

    • Dynamic-range compression (DRC) is crucial for hearing aid devices (HADs) to adapt speech signals for hearing-impaired users.
    • Multi-channel compression, while effective, suffers from distortion, increased computational load, and latency issues, hindering real-time application.

    Purpose of the Study:

    • To develop an improved DRC system for HADs that minimizes distortion and computational complexity.
    • To enhance the real-time processing capabilities and audio quality of hearing aid devices.

    Main Methods:

    • A novel compensation filter was designed to mitigate distortion introduced by multi-channel compression.
    • Polyphase implementation was employed to reduce the overall computational complexity of the DRC system.
    • Objective and subjective tests were conducted to assess audio quality and speech intelligibility under various noise conditions and SNRs.

    Main Results:

    • The proposed compensation filter effectively reduced distortion in the processed audio signal.
    • Polyphase implementation significantly decreased computational complexity, enabling more efficient real-time processing.
    • Evaluations demonstrated improved audio quality and speech intelligibility in the presence of different noise types and SNRs.

    Conclusions:

    • The developed DRC approach offers a promising solution for enhancing HAD performance by reducing distortion and computational demands.
    • This method facilitates more accurate and efficient real-time audio processing, leading to better speech intelligibility for individuals with hearing loss.