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Learning to Perceive Non-Native Tones via Distributional Training: Effects of Task and Acoustic Cue Weighting
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In: Brain Sciences; Volume 12; Issue 5; Pages: 559 (2022)
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The Perceptimatic English Benchmark for Speech Perception Models
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In: CogSci 2020 - 42nd Annual Virtual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-03087248 ; CogSci 2020 - 42nd Annual Virtual Meeting of the Cognitive Science Society, Jul 2020, Toronto / Virtual, Canada (2020)
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How do words compete? Quantifying lexical competition with acoustic distance
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Lexical ambiguity and acoustic distance in discrimination
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In: Proceedings of the Linguistic Society of America; Vol 5, No 1 (2020): Proceedings of the Linguistic Society of America; 431–445 ; 2473-8689 (2020)
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Using acoustic distance to quantify lexical competition
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Abstract:
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 recognition using acoustic distance, rather than phonological neighborhood density. The indication of a word's lexical competition is given by what is termed its acoustic distinctiveness, which is taken as its average acoustic distance to all other words in the lexicon. A variety of acoustic representations for items in the lexicon are analyzed. Statistical modeling shows that acoustic distinctiveness has a similar effect trend as phonological neigbhorhood density. Additionally, acoustic distinctiveness consistently increases model fitness more than phonological neighborhood density, regardless of which kind of acoustic representation is used. Acoustic distinctiveness does not seem to explain all the same things as phonological neighborhood density, however. The different areas that these two predictors explain are discussed, in addition to potential theoretical implications of acoustic distinctiveness's usefulness in models. The paper concludes with motiviations for why a researcher may want to use acoustic disinctiveness over phonological neighborhood density in future experiments. This document was prepared as part of a generals paper course in the fall 2018 term.
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Keyword:
acoustic distance; dynamic time warping; lexical competition; linguistics; mental lexicon; phonetics; phonological neighborhood density; psycholinguistics
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URL: https://doi.org/10.7939/r3-wbhs-kr84 https://era.library.ualberta.ca/items/69e94fb3-1860-4ad5-a487-b7a8db1fde98
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How acoustic distinctiveness affects spoken word recognition: A pilot study
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Software for objective comparison of vocal acoustic features over weeks of audio recording: KLFromRecordingDays
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Auditory Perception in an Open Space: Detection and Recognition
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In: DTIC (2015)
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Intelligibility of foreign-accented words: Acoustic distances and gradient foreign accentedness
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Intelligibility of foreign-accented words: Acoustic distances and gradient foreign accentedness
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Transmission Characteristics of Solo Songs and Duets in a Neotropical Thicket Habitat Specialist Bird
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In: Biological Sciences Publications (2015)
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Afrikaans and Dutch as closely-related languages: A comparison to West Germanic languages and Dutch dialects
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In: Stellenbosch Papers in Linguistics Plus, Vol 47, Iss 0, Pp 1-18 (2015) (2015)
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Proposals for a representation of sounds based on their main acoustic-perceptual properties, Tones and Features
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In: Tones and Features, Phonetic and Phonological Perspectives ; https://halshs.archives-ouvertes.fr/halshs-00675777 ; Ed. by Goldsmith, John A. Hume, Elizabeth and Wetzels, Leo. Tones and Features, Phonetic and Phonological Perspectives, Mouton de Gruyter, pp.306-330, 2011, Series: Studies in Generative Grammar [SGG] 107 (2011)
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The Synergy between Bounded-Distance HMM and Spectral Subtraction for Robust Speech Recognition
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: Elsevier, 2011
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Implementation and Evaluation of Acoustic Distance Measures for Syllables
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The synergy between bounded-distance HMM and spectral subtraction for robust speech recognition
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The Synergy between Bounded-Distance HMM and Spectral Subtraction for Robust Speech Recognition
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In: ISSN: 0167-6393 ; EISSN: 1872-7182 ; Speech Communication ; https://hal.archives-ouvertes.fr/hal-00592583 ; Speech Communication, Elsevier : North-Holland, 2009, 52 (2), pp.123. ⟨10.1016/j.specom.2009.09.002⟩ (2009)
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Sound Basics: A Primer in Psychoacoustics
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In: DTIC AND NTIS (1998)
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