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Talker variability in word recognition under cochlear implant simulation: Does talker gender matter?
Terrin N Tamati1, Lissy Sijp2, Deniz Başkent3
1Department of Otolaryngology-Head and Neck Surgery; The Ohio State University Wexner Medical Center, 915 Olentangy River Road, Suite 4000, Columbus, Ohio 43212, USA.
The Journal of the Acoustical Society of America
|May 4, 2020
Summary
Talker voice changes negatively impact word recognition for cochlear implant (CI) users, especially with different genders. This study simulated CI hearing to assess talker variability effects on speech perception.
Area of Science:
- Auditory Neuroscience
- Speech Perception
- Cochlear Implants
Background:
- Normal-hearing listeners struggle with word recognition when talkers change between trials.
- Cochlear implant (CI) users exhibit difficulties distinguishing same-gender and different-gender talkers, potentially impairing word recognition.
- Understanding the impact of talker variability is crucial for improving speech intelligibility in CI users.
Purpose of the Study:
- To investigate the effect of talker voice differences on word recognition accuracy in simulated cochlear implant (CI) hearing.
- To determine if talker variability, specifically multiple talkers of the same or different genders, impacts speech perception compared to a single talker.
Main Methods:
- Utilized acoustic noise-vocoder simulations to mimic cochlear implant (CI) hearing conditions.
- Compared word recognition accuracy across conditions with a single talker, multiple female talkers, and multiple female and male talkers.
Main Results:
- Word recognition accuracy was significantly lower when multiple female and male talkers were used compared to multiple female talkers or a single talker.
- Talker variability negatively affected word recognition accuracy under CI simulation, particularly when different-gender talkers were involved.
Conclusions:
- Talker variability poses a challenge to word recognition in simulated cochlear implant (CI) hearing.
- The detrimental effect of talker variability on word recognition is more pronounced with different-gender talkers in CI simulations.

