2 |
Managing data for integrated speech corpus analysis in SPeech Across Dialects of English (SPADE)
|
|
|
|
BASE
|
|
Show details
|
|
3 |
Speech Across Dialects of English: Acoustic Measures from SPADE Project Corpora, 1949-2019 ...
|
|
|
|
BASE
|
|
Show details
|
|
4 |
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)
|
|
BASE
|
|
Show details
|
|
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
|
|
BASE
|
|
Hide details
|
|
7 |
Mixed-effects design analysis for experimental phonetics ...
|
|
|
|
BASE
|
|
Show details
|
|
8 |
Structured speaker variability in Japanese stops: relationships within versus across cues to stop voicing
|
|
|
|
BASE
|
|
Show details
|
|
9 |
Structured heterogeneity in Scottish stops over the 20th Century
|
|
|
|
BASE
|
|
Show details
|
|
10 |
Toward “English” phonetics: variability in the pre-consonantal voicing effect across English dialects and speakers
|
|
|
|
BASE
|
|
Show details
|
|
11 |
Toward “English” Phonetics: Variability in the Pre-consonantal Voicing Effect Across English Dialects and Speakers
|
|
|
|
In: Front Artif Intell (2020)
|
|
BASE
|
|
Show details
|
|
12 |
Toward "English" Phonetics: Variability in the Pre-Consonantal Voicing Effect across English Dialects and Speakers
|
|
|
|
In: Linguistics Faculty Publications (2020)
|
|
BASE
|
|
Show details
|
|
13 |
Large-scale analyses of English /s/-retraction across dialects ...
|
|
|
|
BASE
|
|
Show details
|
|
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)
|
|
BASE
|
|
Show details
|
|
15 |
Vowel duration and the voicing effect across dialects of English
|
|
|
|
BASE
|
|
Show details
|
|
16 |
ISCAN: a System for Integrated Phonetic Analyses Across Speech Corpora
|
|
|
|
BASE
|
|
Show details
|
|
17 |
Large-scale Acoustic Analysis of Dialectal and Social Factors in English /s/-retraction
|
|
|
|
BASE
|
|
Show details
|
|
18 |
Age Vectors vs. Axes of Intraspeaker Variation in Vowel Formants Measured Automatically From Several English Speech Corpora
|
|
|
|
BASE
|
|
Show details
|
|
19 |
Structured Speaker Variability in Spontaneous Japanese Stop Contrast Production
|
|
|
|
BASE
|
|
Show details
|
|
20 |
Automatic analysis of child speech (Knowles et al., 2018) ...
|
|
|
|
BASE
|
|
Show details
|
|
|
|