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Regression modeling for linguistic data ...
Sonderegger, Morgan. - : Open Science Framework, 2022
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Managing data for integrated speech corpus analysis in SPeech Across Dialects of English (SPADE)
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Speech Across Dialects of English: Acoustic Measures from SPADE Project Corpora, 1949-2019 ...
Stuart-Smith, Jane; Sonderegger, Morgan; Mielke, Jeff. - : UK Data Service, 2021
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Modelling Perceptual Effects of Phonology with ASR Systems
In: CogSci 2020 - 42nd Annual Virtual Meeting of the Cognitive Science Society ; https://hal.archives-ouvertes.fr/hal-03070281 ; CogSci 2020 - 42nd Annual Virtual Meeting of the Cognitive Science Society, Jul 2020, Virtual, France (2020)
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SPADE -- Speech Across Dialects of English ...
Sonderegger, Morgan; Stuart-Smith, Jane; Tanner, James. - : Open Science Framework, 2020
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6
Individual and dialect differences in perceiving multiple cues: A tonal register contrast in two Chinese Wu dialects
In: Laboratory Phonology: Journal of the Association for Laboratory Phonology; Vol 11, No 1 (2020); 11 ; 1868-6354 (2020)
Abstract: This study investigates how multiple cues contribute to multi-dimensional phonological contrasts at both the group level and the individual level, and how dialectal experience shapes listeners’ perceptual strategies. We examine a tonal register contrast in two Chinese Wu dialects signaled by three cues: pitch height, voice quality, and pitch contour. We found that 1) at the group level, cue weights are context-specific, i.e., vary by tone, and some contrasts rely more heavily on multiple cues than others; 2) dialectal experience affects listeners’ perceptual strategy: Shanghai listeners, with their own dialect having a smaller voice quality distinction, do not rely more on the cue even when listening to stimuli with a clear breathy-modal distinction, comparing to Jiashan listeners; 3) individuals’ cue weights are correlated in a positive manner, meaning that some listeners show overall larger cue weights than others; larger variability is found when the contrast has more than one salient cue, in which case individuals have different options of choosing one cue over another as the primary cue and this can work against the positive correlation.
Keyword: Chinese Wu dialects; cue weighting; individual variability; Speech perception; voice quality
URL: https://doi.org/10.5334/labphon.266
https://www.journal-labphon.org/jms/article/view/266
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Mixed-effects design analysis for experimental phonetics ...
Kirby, James; Sonderegger, Morgan. - : Open Science Framework, 2020
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8
Structured speaker variability in Japanese stops: relationships within versus across cues to stop voicing
Sonderegger, Morgan; Stuart-Smith, Jane; Tanner, James. - : Acoustical Society of America, 2020
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9
Structured heterogeneity in Scottish stops over the 20th Century
Stuart-Smith, Jane; Knowles, Thea; Macdonald, Rachel. - : Linguistic Society of America, 2020
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10
Toward “English” phonetics: variability in the pre-consonantal voicing effect across English dialects and speakers
Sonderegger, Morgan; Fruehwald, Josef; Tanner, James. - : Frontiers Media, 2020
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11
Toward “English” Phonetics: Variability in the Pre-consonantal Voicing Effect Across English Dialects and Speakers
In: Front Artif Intell (2020)
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12
Toward "English" Phonetics: Variability in the Pre-Consonantal Voicing Effect across English Dialects and Speakers
In: Linguistics Faculty Publications (2020)
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13
Large-scale analyses of English /s/-retraction across dialects ...
Stuart-Smith, Jane; Sonderegger, Morgan; MacDonald, Rachel. - : Open Science Framework, 2019
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14
Vowel duration and the voicing effect across English dialects
In: Toronto Working Papers in Linguistics; Vol 41 No 1 (2019): Proceedings of MOT 2019 ; 1718-3510 ; 1705-8619 (2019)
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15
Vowel duration and the voicing effect across dialects of English
Tanner, James; Sonderegger, Morgan; Stuart-Smith, Jane. - : University of Toronto, 2019
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16
ISCAN: a System for Integrated Phonetic Analyses Across Speech Corpora
McAuliffe, Michael; Coles, Arlie; Goodale, Michael. - : Australasian Speech Science and Technology Association Inc., 2019
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17
Large-scale Acoustic Analysis of Dialectal and Social Factors in English /s/-retraction
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18
Age Vectors vs. Axes of Intraspeaker Variation in Vowel Formants Measured Automatically From Several English Speech Corpora
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19
Structured Speaker Variability in Spontaneous Japanese Stop Contrast Production
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20
Automatic analysis of child speech (Knowles et al., 2018) ...
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