Related Experiment Video
Updated: May 29, 2026

07:52
An Automated System for Sound Localization Testing in Hearing-Impaired Listeners
Published on: March 13, 2026
Towards quantifying cochlear implant localization performance in complex acoustic environments.
1MRC Institute of Hearing Research, University Park, Nottingham, UK.
Cochlear Implants International
|September 16, 2011
Summary
Bilateral cochlear implant (CI) users experience significant sound localization difficulties in noise. This study found CI users had much higher localization errors than normal-hearing listeners, especially with background noise.
Area of Science:
- Audiology
- Neuroscience
- Speech and Hearing Science
Background:
- Cochlear implant (CI) users often report challenges in noisy environments.
- Binaural hearing is crucial for speech understanding in noise for normal-hearing individuals.
- Quantifying binaural hearing in CI users with multiple sound sources is underexplored.
Purpose of the Study:
- To measure the horizontal sound localization ability of a bilateral CI user.
- To compare the CI user's localization performance with normal-hearing listeners.
- To assess localization in quiet and in diffuse background noise.
Main Methods:
- A pointing task was employed to assess horizontal sound localization.
- Localization was tested in quiet and with a continuous diffuse noise interferer at 0 dB SNR.
- Performance was evaluated for one bilateral CI user and six normal-hearing listeners.
Main Results:
- Normal-hearing listeners showed a small increase in localization error (1.8°) in noise.
- The bilateral CI user exhibited a large localization error (22° in quiet, 31° in noise).
- Target sounds were inaudible for the CI user at frontal locations (-20° to +20°) in noise.
Conclusions:
- Bilateral CI users face substantial sound localization deficits compared to normal-hearing individuals.
- Background noise significantly exacerbates localization difficulties for CI users.
- Findings support CI user complaints and can inform the development of noise reduction algorithms for implant processors.
