UZH-Logo

Maintenance Infos

Rhythmic classification of languages based on voice timing


Fourcin, Adrian; Dellwo, Volker (2009). Rhythmic classification of languages based on voice timing. UCL Discovery online, University of Zurich.

Abstract

Speech rhythm classes can be distinguished acoustically and perceptually from the variability of consonantal durations and the relative durations of vocalic intervals. The present research investigated whether this distinction can be made robustly, simply on the basis of voice timing, by measuring the durational characteristics of voiced and voiceless intervals in fluent speech. We show that voice patterns — in terms of vocal fold vibration — provide an effective basis for classification and that they can be automatically processed for large datasets. The possible implications that this finding can have on the ability of infants to distinguish between languages of different rhythmic classes are discussed.

Speech rhythm classes can be distinguished acoustically and perceptually from the variability of consonantal durations and the relative durations of vocalic intervals. The present research investigated whether this distinction can be made robustly, simply on the basis of voice timing, by measuring the durational characteristics of voiced and voiceless intervals in fluent speech. We show that voice patterns — in terms of vocal fold vibration — provide an effective basis for classification and that they can be automatically processed for large datasets. The possible implications that this finding can have on the ability of infants to distinguish between languages of different rhythmic classes are discussed.

Downloads

0 downloads since deposited on 05 Aug 2015
0 downloads since 12 months

Additional indexing

Item Type:Working Paper
Communities & Collections:06 Faculty of Arts > Department of Comparative Linguistics
Dewey Decimal Classification:490 Other languages
890 Other literatures
410 Linguistics
Language:English
Date:2009
Deposited On:05 Aug 2015 08:22
Last Modified:11 Aug 2016 12:01
Series Name:UCL Discovery
Free access at:Official URL. An embargo period may apply.
Official URL:http://discovery.ucl.ac.uk/15122/1/15122.pdf
Related URLs:http://discovery.ucl.ac.uk/15122/
Permanent URL: https://doi.org/10.5167/uzh-111803

Download

[img]
Filetype: PDF - Registered users only
Size: 308kB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations