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HearingaidEQ

Simulation of Bilateral Sudden Sensorineural Hearing Loss (SSNHL) in MATLAB for Physical Acoustics in Directional Hearing

Install / Use

/learn @calanuzao/HearingaidEQ
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

Emulating Hearing Aid Acoustics

Open in MATLAB Online

Project Description

This project focuses on enhancing sound perception and auditory architecture for individuals with hearing impairments. The project includes MATLAB scripts and functions to simulate, analyze, and visualize the acoustic barriers faced by the hearing impaired and the solutions provided by hearing aids.

Hearing Loss EQ

Additional Information

  • Ensure you have MATLAB installed on your machine. You can also use MATLAB Online to run the scripts.
  • Refer to the comments within the scripts and functions for detailed explanations of the code.
  • For any issues or questions, please contact the project maintainer.- For any issues or questions, please contact the project maintainer.

1. Introduction

Acoustics, the science of sound, explores the fundamental laws of nature. Although sound's nature is rooted in physics, its perception varies significantly with hearing impairment, a complexity further compounded by numerous external factors. This project focuses on enhancing sound perception and auditory architecture for individuals with hearing impairments.

2. Historical Perspective on Hearing Aid Technology

Hearing aids have undergone significant advancements since their inception, enhancing their efficiency, audio processing, and ability to adapt to the needs of hearing-impaired individuals.

3. Understanding Hearing Loss

Speech intelligibility is crucial in the design of rooms and halls, such as places of worship, auditoriums, and drama theaters, where overcoming acoustical barriers is necessary to enhance speech clarity.

4. Emulating Hearing Loss In MATLAB

All of the variables and parameters discussed thus far were emulated using MATLAB’s Audio Tool Box. The primary goal was to reduce the audibility, dynamic range, frequency resolution, and temporal resolution of a digital audio signal.

5. Denoising Data In MATLAB

The hearing loss simulation provided valuable insights into the challenges faced by individuals with hearing impairments. The Cocktail Party effect illustrates how excessive background noise can make it nearly impossible for those with hearing loss to follow conversations.

Works Cited

  1. COMSOL. (n.d.). Acoustics module version 6.2 documentation. COMSOL Multiphysics.entation. COMSOL Multiphysics.
  2. Dillon, H. (2012). Hearing aids (2nd ed.). Thieme.
  3. Eggermont, J. J. (2012). The neuroscience of tinnitus. Oxford University Press.
  4. Everest, F. A., & Pohlmann, K. C. (2015). Master Handbook of Acoustics (6th ed.). McGraw-Hill Education.. McGraw-Hill Education.
  5. Lyons, R. G. (2011). Understanding digital signal processing (3rd ed.). Pearson.(3rd ed.). Pearson.
  6. Martin, J. (2020). Introduction to audiology. Academic Press.
  7. Mullin, W. J. (2001). Fundamentals of sound with applications to speech and hearing. Stephen D. Dragin. applications to speech and hearing. Stephen D. Dragin.
  8. Sterkens, J. (2024). Hearing aids. TEDTalk, TED.
  9. Tomatis, A. A. (1991). The conscious ear: My life of transformation through listening. Station Hill Press.
  10. Moore, B. C. J. (2008). The choice of compression speed in hearing aids: Theoretical and practical considerations, and the role of individual differences. Trends in Amplification, 12(2), 103-112.nd practical considerations, and the role of individual differences. Trends in Amplification, 12(2), 103-112.
  11. Moore, B. C. J. (2012). An introduction to the psychology of hearing (6th ed.). Brill.
  12. Moore, B. C. J. (2014). Auditory processing of temporal fine structure: Effects of age and hearing loss. World Scientific.
  13. Moore, B. C. J. (2021). Effects of hearing loss and age on the binaural processing of temporal envelope and temporal fine structure information. Hearing Research, 402, 1-13.
  14. Moore, B. C. J., & Popelka, G. R. (2016). Introduction to hearing aids. In G. R. Popelka, B. C. J. Moore, R. R. Fay, & A. N. Popper (Eds.), Hearing aids (pp. 1-19). Springer Cham.am.
  15. Moore, B. C. J., & Sęk, A. (2016). Preferred compression speed for speech and music and its relationship to sensitivity to temporal fine structure. Trends in Hearing, 20, 1-15.
  16. Moore, B. C. J., Baer, T., Ives, T. D., Marriage, J., & Salorio-Corbetto, M. (2016). Effects of modified hearing aid fittings on loudness and tone quality for different acoustic scenes. Ear and Hearing, 37(5), 483-491.rent acoustic scenes. Ear and Hearing, 37(5), 483-491.
  17. Moore, B. C. J., Sęk, A. P., Vinay, & Füllgrabe, C. (2019). Envelope regularity discrimination. The Journal of the Acoustical Society of America, 145(5), 2861-2870.17. Moore, B. C. J., Sęk, A. P., Vinay, & Füllgrabe, C. (2019). Envelope regularity discrimination. The Journal of the Acoustical Society of America, 145(5), 2861-2870.
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GitHub Stars6
CategoryDevelopment
Updated1mo ago
Forks0

Languages

MATLAB

Security Score

70/100

Audited on Feb 24, 2026

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