Pitch target analysis of Thai tones using quantitative target approximation model and unsupervised clustering

Conference proceedings article

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Publication Details

Author list: Prom-on S.

Publication year: 2008

Start page: 1116

End page: 1119

Number of pages: 4

ISSN: 1990-9772

eISSN: 1990-9772

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867207609&partnerID=40&md5=36e377d54af1f404e595809252810b68

Languages: English-Great Britain (EN-GB)

Abstract

This paper presents the integration between the quantitative target approximation (qTA) model and the unsupervised clustering technique to study Thai tones. The qTA model simulates F 0 production on the basis of articulation process. Parameters extracted from the F 0 of Thai speech by analysis-and-synthesis method were further analyzed by K-means clustering. The number and form of pitch target were then identified by assessing the quality of clusters using silhouette scoring. The combination of qTA model and computational intelligent techniques make it possible to study pitch targets of tone function without prior hypothesis. Copyright ฉ 2008 ISCA.

Keywords

K-Means, Quantitative intonation model, Silhouette score, Thai tone