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2020-01-01
Matthew C. Kelley, Benjamin V. Tucker
Multiple measures of vowel overlap have been proposed that use F1, F2, and duration to calculate the degree of overlap between vowel categories. The present study assesses four of these measures: the spectral overlap assessment metric [SOAM; Wassink (2006). J. Acoust. Soc. Am. 119(4), 2334–2350],...
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2018-01-01
Matthew C. Kelley, Benjamin V. Tucker
The present paper investigates the effect of different inputs on the accuracy of a forced alignment tool built using deep neural networks. Both raw audio samples and Mel-frequency cepstral coefficients were compared as network inputs. A set of experiments were performed using the TIMIT speech...
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Measuring the dispersion of density in head and neck cancer patients' vowel spaces: The vowel dispersion index
Download2019-10-16
Matthew C. Kelley, Daniel Aalto
The present study introduces a measure of the dispersion of density throughout the vowel space, which we refer to as the vowel dispersion index. The vowel dispersion index is based on calculating the total variation of the density values in Story & Bunton’s (2017) convex hull representation of...
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2022-03-28
Matthew C. Kelley, Benjamin V. Tucker
Pseudowords are used as stimuli in many psycholinguistic experiments yet they, remain largely under-researched. To better understand the cognitive processing of pseudowords, we analysed the pseudoword responses in the Massive Auditory Lexical Decision megastudy data set. Linguistic...
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2022-01-01
Matthew C. Kelley, Benjamin V. Tucker
Using phonological neighborhood density has been a common method to quantify lexical competition. It is useful and convenient but has shortcomings that are worth reconsidering. The present study quantifies the effects of lexical competition during spoken word recognition using acoustic distance...
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2018-12-20
Matthew C. Kelley, Benjamin V. Tucker
This paper has been significantly updated and published in The Journal of the Acoustical Society of America. Please read and cite that version instead, which can be found at https://doi.org/10.1121/10.0009584. The present study quantifies the effects of lexical competition during spoken word...