Abstract
For people with severe to profound sensorineural hearing loss, a cochlear implant (CI) is a valuable treatment that improves auditory functioning and speech perception in a quiet environment. However, speech perception in background noise is challenging or even impossible for CI recipients. This thesis focused on:
1) CI listeners’ speech perception in background noise in terms of speech recognition, noise tolerance, and listening effort;
2) the effect of clinically available single-microphone noise reduction algorithms on these outcome measures;
3) the relative contribution of the available speech cues in the incoming signal and cognitive top-down processing to speech perception in noise;
4) improvements in methods to test speech perception in noise.
1) CI listeners’ speech perception in background noise in terms of speech recognition, noise tolerance, and listening effort;
2) the effect of clinically available single-microphone noise reduction algorithms on these outcome measures;
3) the relative contribution of the available speech cues in the incoming signal and cognitive top-down processing to speech perception in noise;
4) improvements in methods to test speech perception in noise.
| Original language | English |
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| Awarding Institution |
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| Supervisors/Advisors |
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| Award date | 9 Nov 2021 |
| Place of Publication | Rotterdam |
| Print ISBNs | 978 94 6423 459 6 |
| Publication status | Published - 9 Nov 2021 |
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