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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 Abstract: A subset of the Massive Auditory Lexical Decision stimuli. They are represented as sequences of MFCCs with delta and delta-delta coefficients. There are also associated label files so that the data can be used for machine learning purposes, though they are force-aligned labels and not hand-corrected labels. Designed for use during the deep learning workshop at the Morphological Processing 2019 conference in Tübingen, Germany. If you use this data set in your research, please make sure you cite the original MALD paper in addition to this data set: https://doi.org/10.3758/s13428-018-1056-1 Keyword: mald; phonetics; psycholinguistics URL: https://doi.org/10.7939/r3-b7v0-dy61 https://era.library.ualberta.ca/items/d0dd87c9-8091-467d-8c30-bd23a2a1fb55 BASE Hide 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 BASE Show details

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