McGinnity, T.M. ORCID: 0000-0002-9897-4748, Gault, R. ORCID: 0000-0001-6097-8981 and Coleman, S., 2020. Perceptual modelling of tinnitus pitch and loudness. IEEE Transactions on Cognitive and Developmental Systems. ISSN 2379-8920
|
Text
1263198_McGinnity2.pdf - Post-print Download (2MB) | Preview |
Abstract
Tinnitus is the phantom perception of sound, experienced by 10-15% of the global population. Computational models have been used to investigate the mechanisms underlying the generation of tinnitus- related activity. However, existing computational models have rarely benchmarked the modelled perception of a phantom sound against recorded data relating to a person’s perception of tinnitus characteristics; such as pitch or loudness. This paper details the development of two perceptual models of tinnitus. The models are validated using empirical data from people with tinnitus and the models' performance is compared with existing perceptual models of
tinnitus pitch. The first model extends existing perceptual models of tinnitus, while the second model utilises an entirely novel approach to modelling tinnitus perception using a Linear Mixed Effects (LME) model. The LME model is also used to model the perceived loudness of the phantom sound which has not been considered in previous models. The LME model creates an accurate model of tinnitus pitch and loudness and shows that both tinnitus-related activity and individual perception of sound are factors in the perception of the phantom sound that characterizes tinnitus.
Item Type: | Journal article | ||||||
---|---|---|---|---|---|---|---|
Publication Title: | IEEE Transactions on Cognitive and Developmental Systems | ||||||
Creators: | McGinnity, T.M., Gault, R. and Coleman, S. | ||||||
Publisher: | Institute of Electrical and Electronics Engineers | ||||||
Date: | 8 January 2020 | ||||||
ISSN: | 2379-8920 | ||||||
Identifiers: |
|
||||||
Divisions: | Schools > School of Science and Technology | ||||||
Record created by: | Linda Sullivan | ||||||
Date Added: | 13 Jan 2020 12:56 | ||||||
Last Modified: | 13 Jan 2020 12:56 | ||||||
URI: | https://irep.ntu.ac.uk/id/eprint/38958 |
Actions (login required)
Edit View |
Views
Views per month over past year
Downloads
Downloads per month over past year