Abstract
Normal-hearing listeners rely heavily on variations in the fundamental frequency (F0) of speech to identify vocal emotions. Without reliable F0 cues, as is the case for cochlear implant users, listeners’ ability to extract emotional meaning from speech is reduced. This thesis describes the development of an objective measure of vocal emotion recognition. The program of three experiments investigates: 1) NH listeners’ abilities to use F0, intensity, and speech-rate cues to recognise emotions; 2) cortical activity associated with individual vocal emotions assessed using functional near-infrared spectroscopy (fNIRS); 3) cortical activity evoked by vocal emotions in natural speech and in speech with uninformative F0 using fNIRS.
Original language | English |
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Qualification | Doctor of Philosophy |
Awarding Institution |
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Supervisors/Advisors |
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Award date | 2 Jun 2022 |
Publication status | Unpublished - 2022 |
Externally published | Yes |
Keywords
- fNIRS
- emotion recognition
- prosodic cues