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Related Experiment Video

Updated: Aug 26, 2025

Robotic Cochlear Implantation for Direct Cochlear Access

Robotic Cochlear Implantation for Direct Cochlear Access

Published on: June 16, 2022

Remote Microphone Systems for Cochlear Implant Recipients in Small Group Settings.

Sharon Miller¹, Jace Wolfe², Sara Neumann²

¹Department of Audiology & Speech-Language Pathology, University of North Texas, Denton, Texas.

Journal of the American Academy of Audiology

|October 10, 2022

Summary

This summary is machine-generated.

Cochlear implant users struggle in noisy group settings. A multi-talker network system significantly improved speech recognition more than an adaptive beamformer system for cochlear implant (CI) recipients.

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

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Published on: March 24, 2023

Area of Science:

Audiology
Biomedical Engineering
Speech Processing

Background:

Cochlear implant (CI) recipients often face challenges with speech recognition in noisy environments, particularly in small group settings with multiple speakers.
Traditional remote microphone systems are limited as they typically transmit audio from only one talker, failing to capture multiple simultaneous speakers.

Purpose of the Study:

To compare the effectiveness of two advanced remote microphone systems for improving speech recognition in noise for CI users in small group scenarios.
Investigate the potential benefits of an adaptive multiple-microphone beamformer system versus a multi-talker network system.

Main Methods:

Twenty CI recipients (ages 12-84) participated in sentence recognition tasks in noise.
Testing involved three conditions: CI alone, adaptive multiple-microphone beamformer, and multi-talker network system.
Speech and noise were presented from multiple loudspeakers at varying signal levels to simulate complex listening environments.

Main Results:

Both remote microphone systems demonstrated significant improvements in speech recognition compared to the CI alone.
The adaptive multiple-microphone beamformer system yielded improvements of 14-23 percentage points.
The multi-talker network system provided greater improvements, ranging from 27-47 percentage points.

Conclusions:

Both tested remote microphone systems enhance speech recognition in noise for CI recipients in small group settings.
The multi-talker network remote microphone system offers superior performance compared to the adaptive multiple-microphone beamformer system for this listening condition.