Perceptual modelling of tinnitus pitch and loudness

Research output: Contribution to journalArticle

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.
LanguageEnglish
JournalIEEE Transactions on Cognitive and Developmental Systems
Early online date10 Jan 2020
DOIs
Publication statusE-pub ahead of print - 10 Jan 2020

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Keywords

  • Tinnitus
  • Computational modeling
  • Perception

Cite this

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title = "Perceptual modelling of tinnitus pitch and loudness",
abstract = "Tinnitus is the phantom perception of sound, experiencedby 10-15{\%} of the global population. Computationalmodels have been used to investigate the mechanisms underlyingthe generation of tinnitus-related activity. However, existingcomputational models have rarely benchmarked the modelledperception of a phantom sound against recorded data relating toa person’s perception of tinnitus characteristics; such as pitch orloudness. This paper details the development of two perceptualmodels of tinnitus. The models are validated using empiricaldata from people with tinnitus and the models’ performance iscompared with existing perceptual models of tinnitus pitch. Thefirst model extends existing perceptual models of tinnitus, whilethe second model utilises an entirely novel approach to modellingtinnitus perception using a Linear Mixed Effects (LME) model.The LME model is also used to model the perceived loudness ofthe phantom sound which has not been considered in previousmodels. The LME model creates an accurate model of tinnituspitch and loudness and shows that both tinnitus-related activityand individual perception of sound are factors in the perceptionof the phantom sound that characterizes tinnitus.",
keywords = "Tinnitus, Computational modeling, Perception",
author = "Richard Gault and T.Martin McGinnity and Sonya Coleman",
year = "2020",
month = "1",
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doi = "10.1109/TCDS.2020.2964841",
language = "English",
journal = "IEEE Transactions on Cognitive and Developmental Systems",
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AU - Gault, Richard

AU - McGinnity, T.Martin

AU - Coleman, Sonya

PY - 2020/1/10

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N2 - Tinnitus is the phantom perception of sound, experiencedby 10-15% of the global population. Computationalmodels have been used to investigate the mechanisms underlyingthe generation of tinnitus-related activity. However, existingcomputational models have rarely benchmarked the modelledperception of a phantom sound against recorded data relating toa person’s perception of tinnitus characteristics; such as pitch orloudness. This paper details the development of two perceptualmodels of tinnitus. The models are validated using empiricaldata from people with tinnitus and the models’ performance iscompared with existing perceptual models of tinnitus pitch. Thefirst model extends existing perceptual models of tinnitus, whilethe second model utilises an entirely novel approach to modellingtinnitus perception using a Linear Mixed Effects (LME) model.The LME model is also used to model the perceived loudness ofthe phantom sound which has not been considered in previousmodels. The LME model creates an accurate model of tinnituspitch and loudness and shows that both tinnitus-related activityand individual perception of sound are factors in the perceptionof the phantom sound that characterizes tinnitus.

AB - Tinnitus is the phantom perception of sound, experiencedby 10-15% of the global population. Computationalmodels have been used to investigate the mechanisms underlyingthe generation of tinnitus-related activity. However, existingcomputational models have rarely benchmarked the modelledperception of a phantom sound against recorded data relating toa person’s perception of tinnitus characteristics; such as pitch orloudness. This paper details the development of two perceptualmodels of tinnitus. The models are validated using empiricaldata from people with tinnitus and the models’ performance iscompared with existing perceptual models of tinnitus pitch. Thefirst model extends existing perceptual models of tinnitus, whilethe second model utilises an entirely novel approach to modellingtinnitus perception using a Linear Mixed Effects (LME) model.The LME model is also used to model the perceived loudness ofthe phantom sound which has not been considered in previousmodels. The LME model creates an accurate model of tinnituspitch and loudness and shows that both tinnitus-related activityand individual perception of sound are factors in the perceptionof the phantom sound that characterizes tinnitus.

KW - Tinnitus

KW - Computational modeling

KW - Perception

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