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Using acoustic distance and acoustic absement to quantify lexical competition ...
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Using acoustic distance and acoustic absement to quantify lexical competition
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Acoustic absement files
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Abstract:
These files contain acoustic absement and acoustic distinctiveness calculations for the words in the Massive Auditory Lexical Decision database. These files accompany the "Using acoustic distance and acoustic absement to quantify lexical competition" article in the Journal of The Acoustical Society of America. The article can be found at https://doi.org/10.1121/10.0009584, and we request that anyone who uses this data set in their publications cite that article. The files are named to describe the comparisons that were made; "ym" means "young man", "yw" means "young woman", and "om" means "older man". The speakers on the right of the "2" are the speakers that formed the template the young man's speech was compared to. The absement comparisons are contained in each of the corresponding zip files. They take the form of matrices indexed by a given word pair, and each cell of the matrix contains the relevant comparison. These matrices are large because there are 26005^2 comparisons present. They are symmetric and could be read in as symmetric matrices in appropriate programming environments to save resources if desired. As a form of data compression to prevent the files from being even larger than they are, the absement values were rounded to 4 decimal points. This should not significantly affect a study using these values, but it does mean that the exact acoustic distinctiveness values also included in this repository cannot be completely recalculated using the provided absement values. Anyone who requires in more precise absement values should employ the methods in the associated paper.
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Keyword:
acoustic absement; acoustic distance; lexical competition; linguistics; phonetics; spoken word recognition
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URL: https://era.library.ualberta.ca/items/b470bdac-540b-4356-a796-eba1de754e6c
https://doi.org/10.7939/r3-mekk-5635
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How do words compete? Quantifying lexical competition with acoustic distance ...
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How do words compete? Quantifying lexical competition with acoustic distance
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Assessing head-and-neck cancer patient speech with the vowel dispersion index
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Massive auditory lexical decision: Investigating performance in noisy environments
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Measuring the dispersion of density in head and neck cancer patients' vowel spaces: The vowel dispersion index
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Supplementary files for "A Comparison of Four Vowel Overlap Measures"
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How acoustic distinctiveness affects spoken word recognition: A pilot study
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