Predicting consonant recognition and confusions using a microscopic speech perception model

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Abstract

The perception of consonants has been investigated in various studies and shown to critically depend on fine details in the stimuli. The present study proposes a microscopic speech perception model that combines an auditory processing front end with a correlation-based template-matching back end to predict consonant recognition and confusions. The model represents an extension of the auditory signal processing model by Dau et al. [(1997). J. Acoust. Soc. Am. 102, 2892–2905] towards predicting microscopic speech perception data. Model predictions were computed for the extensive consonant perception data set provided by Zaar and Dau [(2015). J. Acoust. Soc. Am. 138, 1253–1267], obtained with consonant-vowels (CVs) in white noise. The predictions were in good agreement with the perceptual data both in terms of consonant recognition and confusions. The model was further evaluated with respect to perceptual artifacts induced by (i) different hearing-aid signal processing strategies and (ii) simulated cochlear-implant processing, based on data from DiNino et al. [(2016). J. Acoust. Soc. Am., 140, 4404–4418]. The model successfully predicted the strong consonant confusions measured in these conditions. Overall, the results suggest that the proposed model may provide a valuable framework for assessing acoustic transmission channels and hearing-instrument signal processing.
Original languageEnglish
JournalJournal of the Acoustical Society of America
Volume141
Issue number5
Pages (from-to)3633-3633
ISSN0001-4966
DOIs
Publication statusPublished - 2018
EventThe 3rd Joint Meeting of the Acoustical Society of America and the European Acoustics Association - John B. Hynes Veterans Memorial Convention Center, Boston, United States
Duration: 25 Jun 201729 Jun 2017

Conference

ConferenceThe 3rd Joint Meeting of the Acoustical Society of America and the European Acoustics Association
LocationJohn B. Hynes Veterans Memorial Convention Center
CountryUnited States
CityBoston
Period25/06/201729/06/2017

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