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Computer-Based Connected-Text Training of Speech-in-Noise Perception for Cochlear Implant Users
Tim Green1, Andrew Faulkner1, Stuart Rosen1
11 Speech, Hearing and Phonetic Sciences, University College London, London, UK.
Trends in Hearing
|April 24, 2019
Summary
This study evaluated an interactive speech training method for cochlear implant users. The method significantly improved sentence recognition in noise, showing potential for clinical use.
Area of Science:
- Audiology
- Neuroscience
- Rehabilitation
Background:
- Adult cochlear implant (CI) users often struggle with speech perception in noisy environments.
- Developing effective auditory training interventions is crucial for improving CI users' quality of life.
Purpose of the Study:
- To assess the efficacy of a novel interactive speech perception training method for adult CI users.
- To determine if the training improves speech recognition in noise and related cognitive abilities.
Main Methods:
- Nine postlingually deafened adult CI users completed 12 hours of home-based tablet training over 4 weeks.
- Training involved identifying key words from spoken phrases in babble noise.
- Outcomes included sentence recognition in babble, vowel/consonant identification, and digit span in noise, assessed pre-training, post-training, and at follow-up.
Main Results:
- Significant improvement in sentence recognition in babble was observed, with a 2 dB increase in speech reception threshold.
- This improvement was maintained at a 4-week follow-up after training cessation.
- Limited improvements were noted in other auditory and cognitive measures.
Conclusions:
- The interactive speech training method shows promise as a clinical intervention for enhancing speech perception in noise for CI users.
- Further research is needed to elucidate the mechanisms of improvement and the generalizability of benefits to real-world listening situations.
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