Representations of fricatives in subcortical model responses: comparisons with human consonant perceptiona
Representations of fricatives in subcortical model responses: comparisons with human consonant perceptiona
Fricatives are obstruent sound contrasts made by airflow constrictions in the vocal tract that produce turbulence across the constriction or at a site downstream from the constriction. Fricatives exhibit significant intra/intersubject and contextual variability. Yet, fricatives are perceived with high accuracy. The current study investigated modeled neural responses to fricatives in the auditory nerve (AN) and inferior colliculus (IC) with the hypothesis that response profiles across populations of neurons provide robust correlates to consonant perception. Stimuli were 270 intervocalic fricatives (10 speakers × 9 fricatives × 3 utterances). Computational model response profiles had characteristic frequencies that were log-spaced from 125 Hz to 8 or 20 kHz to explore the impact of high-frequency responses. Confusion matrices generated by k-nearest-neighbor subspace classifiers were based on the profiles of average rates across characteristic frequencies as feature vectors. Model confusion matrices were compared with published behavioral data. The modeled AN and IC neural responses provided better predictions of behavioral accuracy than the stimulus spectra, and IC showed better accuracy than AN. Behavioral fricative accuracy was explained by modeled neural response profiles, whereas confusions were only partially explained. Extended frequencies improved accuracy based on the model IC, corroborating the importance of extended high frequencies in speech perception.
602-618
Hamza, Yasmeen
d6e729c6-e95c-4ae6-88ba-d4019648d205
Farhadi, Afagh
129ca0ec-dbef-452a-9172-ef1a28a82fd7
Schwarz, Douglas M.
211bef23-f543-442b-a200-69228269d226
McDonough, Joyce M.
43c8234c-93c6-406f-971c-3a8e21a8a96a
Carney, Laurel H.
fc2532cb-06f7-45ad-8ea7-b73f4e141db8
3 August 2023
Hamza, Yasmeen
d6e729c6-e95c-4ae6-88ba-d4019648d205
Farhadi, Afagh
129ca0ec-dbef-452a-9172-ef1a28a82fd7
Schwarz, Douglas M.
211bef23-f543-442b-a200-69228269d226
McDonough, Joyce M.
43c8234c-93c6-406f-971c-3a8e21a8a96a
Carney, Laurel H.
fc2532cb-06f7-45ad-8ea7-b73f4e141db8
Hamza, Yasmeen, Farhadi, Afagh, Schwarz, Douglas M., McDonough, Joyce M. and Carney, Laurel H.
(2023)
Representations of fricatives in subcortical model responses: comparisons with human consonant perceptiona.
Journal of the Acoustical Society of America, 154 (2), .
(doi:10.1121/10.0020536).
Abstract
Fricatives are obstruent sound contrasts made by airflow constrictions in the vocal tract that produce turbulence across the constriction or at a site downstream from the constriction. Fricatives exhibit significant intra/intersubject and contextual variability. Yet, fricatives are perceived with high accuracy. The current study investigated modeled neural responses to fricatives in the auditory nerve (AN) and inferior colliculus (IC) with the hypothesis that response profiles across populations of neurons provide robust correlates to consonant perception. Stimuli were 270 intervocalic fricatives (10 speakers × 9 fricatives × 3 utterances). Computational model response profiles had characteristic frequencies that were log-spaced from 125 Hz to 8 or 20 kHz to explore the impact of high-frequency responses. Confusion matrices generated by k-nearest-neighbor subspace classifiers were based on the profiles of average rates across characteristic frequencies as feature vectors. Model confusion matrices were compared with published behavioral data. The modeled AN and IC neural responses provided better predictions of behavioral accuracy than the stimulus spectra, and IC showed better accuracy than AN. Behavioral fricative accuracy was explained by modeled neural response profiles, whereas confusions were only partially explained. Extended frequencies improved accuracy based on the model IC, corroborating the importance of extended high frequencies in speech perception.
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Accepted/In Press date: 13 July 2023
Published date: 3 August 2023
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Publisher Copyright:
© 2023 Acoustical Society of America.
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Local EPrints ID: 501553
URI: http://eprints.soton.ac.uk/id/eprint/501553
ISSN: 0001-4966
PURE UUID: 862968ce-f8ef-4b79-9189-2c8945efb3b4
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Date deposited: 03 Jun 2025 17:03
Last modified: 04 Jun 2025 02:11
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Contributors
Author:
Yasmeen Hamza
Author:
Afagh Farhadi
Author:
Douglas M. Schwarz
Author:
Joyce M. McDonough
Author:
Laurel H. Carney
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