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Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages
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Frequency-based multi-band adaptive compression for hearing aid application.

Kashyap Patel1, Issa M S Panahi1

  • 1Department of Electrical Engineering, University of Texas at Dallas, Richardson, TEXAS, 75080.

Proceedings of Meetings on Acoustics. Acoustical Society of America
|July 28, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces an adaptive multi-band dynamic range (MBDR) compression for hearing aid devices (HADs). It enhances sound quality by adjusting compression speed based on spectral flux, outperforming fixed methods.

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Area of Science:

  • Signal Processing
  • Auditory Perception
  • Hearing Aid Technology

Background:

  • Multi-band Dynamic Range (MBDR) compression is crucial for hearing aid devices (HADs).
  • Fixed-speed compressors struggle with variable acoustic environments, leading to sound degradation (pumping, breathing) or inadequate gain.
  • Adaptive compression is needed to optimize performance in diverse listening conditions.

Purpose of the Study:

  • To propose and evaluate a novel frequency-based adaptive MBDR compression method for HADs.
  • To improve sound quality and intelligibility by dynamically adjusting compressor speed.
  • To personalize compression settings using patient audiogram data.

Main Methods:

  • Developed a nine-band adaptive MBDR compression algorithm utilizing Fast Fourier Transform (FFT).
  • Employed spectral flux to measure input intensity changes and adapt compressor speed per band.
  • Adjusted gain, threshold, and compression ratio for each band based on individual audiograms.
  • Implemented the adaptive MBDR system on a smartphone platform.

Main Results:

  • Objective and subjective tests confirmed the effectiveness of the proposed adaptive MBDR compression.
  • The adaptive method demonstrated superior performance compared to traditional fixed-speed compression approaches.
  • The system successfully adapted to varying acoustic environments, preserving signal quality.

Conclusions:

  • The proposed frequency-based adaptive MBDR compression offers a significant improvement over fixed methods for HADs.
  • Dynamic adaptation of compression speed based on spectral flux enhances audio processing.
  • Personalized, adaptive compression holds promise for improving hearing aid efficacy and user satisfaction.