Asymmetrical effects of speaking rate on Japanese vowels and consonants

Previous research suggests that vowels are more responsive to speaking rate variation than consonants in production. However, this tendency often derives from limited stimuli or broad comparisons that may overlook differences among subcategories like stops and fricatives. Additionally, how listeners adapt to the asymmetrical effects of speaking rate remains largely unknown. We conducted an online experiment with production and perception tasks using Japanese, where many segments have phonemic length. We examined whether different segmental targets, specifically five vowels (/i, e, a, o, u/) and five consonants (t, k, s, m, n/), differ in their sensitivity to speaking rate changes. In the production task, participants produced minimal pairs of nonce words contrasting in length (e.g., /kempina/, /kempiːna/) within a carrier sentence both at fast and slow speaking rates, following production prompts. In the perception task, they categorized duration continua embedded in fast and slow speech as phonemically short or long. Converging evidence suggests a distinction between vowels and stops versus fricatives and nasals, with the former group exhibiting greater sensitivity to speaking rate changes in production. This production pattern was also generally reflected in the perception results. We discuss potential reasons behind this asymmetry and explore its implications.

Authors

Institutions

Publication Details

Journal
The Journal of the Acoustical Society of America
Published
2024-10-01
DOI
https://doi.org/10.1121/10.0035257
Primary Topic
Phonetics and Phonology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Asymmetrical effects of speaking rate on Japanese vowels and consonants

Hironori Katsuda, Yoonjung Kang
The Journal of the Acoustical Society of America
Phonetics and Phonology Research
article

Asymmetrical effects of speaking rate on Japanese vowels and consonants

Hironori Katsuda, Yoonjung Kang
article en

Abstract

Previous research suggests that vowels are more responsive to speaking rate variation than consonants in production. However, this tendency often derives from limited stimuli or broad comparisons that may overlook differences among subcategories like stops and fricatives. Additionally, how listeners adapt to the asymmetrical effects of speaking rate remains largely unknown. We conducted an online experiment with production and perception tasks using Japanese, where many segments have phonemic length. We examined whether different segmental targets, specifically five vowels (/i, e, a, o, u/) and five consonants (t, k, s, m, n/), differ in their sensitivity to speaking rate changes. In the production task, participants produced minimal pairs of nonce words contrasting in length (e.g., /kempina/, /kempiːna/) within a carrier sentence both at fast and slow speaking rates, following production prompts. In the perception task, they categorized duration continua embedded in fast and slow speech as phonemically short or long. Converging evidence suggests a distinction between vowels and stops versus fricatives and nasals, with the former group exhibiting greater sensitivity to speaking rate changes in production. This production pattern was also generally reflected in the perception results. We discuss potential reasons behind this asymmetry and explore its implications.

The Journal of the Acoustical Society of AmericaVol. 156(4_Supplement)
University of Toronto (CA), Scarborough Health Network (CA)
Openalex Percentile: Top 69%
Phonetics and Phonology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.