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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 20 of 20 1 Using acoustic distance and acoustic absement to quantify lexical competition ... Matthew C. Kelley; Benjamin V. Tucker. - : University of Alberta Library, 2022 BASE Show details 2 The recognition of spoken pseudowords ... Matthew C. Kelley; Benjamin V. Tucker. - : University of Alberta Library, 2022 BASE Show details 3 Using acoustic distance and acoustic absement to quantify lexical competition Matthew C. Kelley; Benjamin V. Tucker. - 2022 BASE Show details 4 Perception and timing of acoustic distance Matthew C. Kelley; Benjamin V. Tucker. - 2021 BASE Show details 5 APhL Aligner: A Neural Network Forced-Alignment System Matthew C. Kelley; Scott James Perry; Benjamin V. Tucker. - 2021 BASE Show details 6 Acoustic absement files Matthew C. Kelley; Benjamin V. Tucker. - 2021 BASE Show details 7 How do words compete? Quantifying lexical competition with acoustic distance ... Matthew C. Kelley; Benjamin V. Tucker. - : University of Alberta Libraries, 2020 BASE Show details 8 How do words compete? Quantifying lexical competition with acoustic distance Matthew C. Kelley; Benjamin V. Tucker. - 2020 BASE Show details 9 A comparison of four vowel overlap measures Matthew C. Kelley; Benjamin V. Tucker. - 2020 BASE Show details 10 MALD MFCC subset Matthew C. Kelley. - 2019 BASE Show details 11 Assessing head-and-neck cancer patient speech with the vowel dispersion index Daniel Aalto; Matthew C. Kelley. - 2019 BASE Show details 12 Massive auditory lexical decision: Investigating performance in noisy environments Pearl Lorentzen; Filip Nenadić; Matthew C. Kelley. - 2019 BASE Show details 13 Measuring the dispersion of density in head and neck cancer patients' vowel spaces: The vowel dispersion index Matthew C. Kelley; Daniel Aalto. - 2019 BASE Show details 14 Supplementary files for "A Comparison of Four Vowel Overlap Measures" Matthew C. Kelley; Benjamin V. Tucker. - 2019 BASE Show details 15 A comparison of four vowel overlap measures Matthew C. Kelley; Benjamin V. Tucker. - 2019 BASE Show details 16 Using acoustic distance to quantify lexical competition Matthew C. Kelley; Benjamin V. Tucker. - 2018 BASE Show details 17 How acoustic distinctiveness affects spoken word recognition: A pilot study Matthew C. Kelley. - 2018 BASE Show details 18 Recognition of spoken pseudowords Benjamin V. Tucker; Matthew C. Kelley. - 2017 BASE Show details 19 How do we recognize pseudowords in an audio signal? Benjamin V. Tucker; Matthew C. Kelley. - 2017 BASE Show details 20 A comparison of four vowel overlap metrics Matthew C. Kelley. - 2017 Abstract: The overlap of vowel categories is a fairly common linguistic phenomenon. But, it can be difficult to judge whether two supposedly distinct vowel categories have merged or not. One tool that a researcher may use is a quantification of the overlap based on acoustic properties of recorded vowel tokens. However, there a serveral to choose from, and not much research as been carried out comparing the options. This study presents such a comparison between four proposed quantitative methods for assessing vowel merger: the sepctral overlap assessment metric (Wassink, 2006), the a posteroiri probability-based overlap metric (Morrison, 2008), the vowel overlap with convex hull assesment method (Haynes & Taylor, 2014), and the Pillai score from running a MANOVA (Hay, Warren, & Drager, 2006). A Monte Carlo technique was used to run the measures 1000 times on simulated data sets in each of a variety of potential overlap scenarios. In each tested overlap scenario, the measures were compared to each other in terms of their accuracy (mean absolute error from the desired overlap value) and precision (mean absolute deviation from the median). The performance and shortcomings of each measure are discussed, and the results of the simulations suggest that the a posteriori probability-based overlap metric performs the best overall. A recommendation is then made to use the a posteriori probability- based overlap metric in general cases. Presented at the Alberta Conference on Linguistics 2017 in Edmonton, AB. Keyword: acoustics; phonetics; vowel overlap; vowels URL: https://doi.org/10.7939/r3-je5d-q275 https://era.library.ualberta.ca/items/5c6ef7dc-53ef-4c2b-b24d-f5c447016c72 BASE Hide details

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