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Hearing

Hearing

When we hear a sound, our nervous system is detecting sound waves—pressure waves of mechanical energy traveling through a medium. The frequency of the wave is perceived as pitch, while the amplitude is perceived as loudness.

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Related Experiment Video

Updated: Sep 25, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

Published on: March 24, 2023

Open community platform for hearing aid algorithm research: open Master Hearing Aid (openMHA).

Hendrik Kayser^1,2,3, Tobias Herzke^2,3, Paul Maanen^2,3

¹Carl von Ossietzky Universität Oldenburg, Department of Medical Physics and Acoustics - Auditory Signal Processing and Hearing Devices, D-26111 Oldenburg, Germany.

Softwarex

|April 25, 2022

Summary

open Master Hearing Aid (openMHA) is an open-source software platform for hearing aid research. It supports sustainable, reproducible studies and custom signal processing for improved assistive hearing systems.

Keywords:

Audiological research Hearing aids Real-time audio signal processing

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Last Updated: Sep 25, 2025

Systematic Hearing Performance Evaluation Process for Adolescents with Cochlear Implantation at Early Ages

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Sound Source Localization Testing in Single-sided Deafness Following Bone Conduction Intervention

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Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss

Neuro-rehabilitation Approach for Sudden Sensorineural Hearing Loss

Published on: January 25, 2016

Area of Science:

Audiology
Computer Science
Biomedical Engineering

Background:

Proprietary software limits sustainable and reproducible hearing aid research.
Need for flexible, open-source tools to advance assistive hearing technology.

Purpose of the Study:

Introduce open Master Hearing Aid (openMHA) as an open-source software platform.
Facilitate reproducible research in hearing aid development.
Support the creation of novel assistive hearing systems.

Main Methods:

Developed openMHA as a flexible software framework.
Included signal processing plugins and support for custom methods.
Ensured hardware independence and cross-platform compatibility (Linux, macOS, Windows, ARM).

Main Results:

openMHA provides a versatile platform for hearing aid research.
The software enables the implementation of user-defined signal processing techniques.
It supports diverse hardware architectures, including portable systems.

Conclusions:

openMHA promotes sustainable and reproducible research in audiology.
The open-source nature of openMHA removes barriers imposed by proprietary software.
It empowers researchers to develop improved and innovative assistive hearing solutions.