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Related Concept Videos

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: Oct 1, 2025

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

Published on: September 7, 2022

Open Speech Platform: Democratizing Hearing Aid Research.

Dhiman Sengupta¹, Arthur Boothroyd², Tamara Zubatiy³

¹University of California, San Diego, La Jolla, California.

International Conference on Pervasive Computing Technologies for Healthcare : [Proceedings]. International Conference on Pervasive Computing Technologies for Healthcare

|March 9, 2022

Summary

This summary is machine-generated.

Researchers developed the Open Speech Platform (OSP), an open-source hearing aid system, to improve hearing loss research. This platform aims to accelerate the translation of academic findings into practical hearing healthcare solutions.

Keywords:

digital signal processing hearing aids human study open source real-time

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Last Updated: Oct 1, 2025

Assessment of Audio-Tactile Sensory Substitution Training in Participants with Profound Deafness Using the Event-Related Potential Technique

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Area of Science:

Audiology
Biomedical Engineering
Open-Source Technology

Background:

Hearing loss affects many, yet hearing aid adoption is low.
Proprietary hearing aid markets hinder academic research translation.
A need exists for accessible tools to advance hearing healthcare research.

Purpose of the Study:

To present the Open Speech Platform (OSP), an integrated open-source hardware and software solution.
To facilitate academic research and accelerate innovation in hearing aid technology.
To bridge the gap between hearing research and commercial application.

Main Methods:

Co-design of industry-standard open-source hardware for experimental use.
Development of modular software for standardized algorithm implementation and UI development.
Performance evaluation of OSP hardware and software, including a human participant study.

Main Results:

The Open Speech Platform (OSP) was successfully designed and implemented.
OSP hardware meets industry standards for research applications.
OSP software offers a systematic approach to algorithm implementation and user interface development.

Conclusions:

The Open Speech Platform (OSP) provides a valuable tool for hearing researchers.
OSP can accelerate the development and adoption of improved hearing aid technologies.
The platform's open-source nature fosters collaboration and innovation in hearing healthcare.