General and Speaker-Specific Properties of F0 Contours in Short Utterances

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11210%2F13%3A10173536" target="_blank" >RIV/00216208:11210/13:10173536 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
General and Speaker-Specific Properties of F0 Contours in Short Utterances
Original language description
This study compares three major quantitative methods of contour analysis with the aim to establish their merit for intonation research. Utterances of 24 speakers (7-9 syllables long) taken from short dialogues were used to see whether general prosodic patterning determined by the intonational grammar of the language and the individual production habits of the speakers can be captured by computational means. The three methods exploited were: k-means clustering (KMC), polynomial regression analysis (PRA),and functional principal component analysis (FPCA). The numerical outputs of the methods are confronted with human perception of the contour in both auditory and visual domains. The results suggest that the observed contour properties are reflected by all three methods reasonably well: phonetically interpretable outcomes can be achieved by each of them. As to speakers' individual features, KMC seems to be least vulnerable to spurious effects.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
AI - Linguistics
OECD FORD branch
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Project
<a href="/en/project/GAP406%2F12%2F0298" target="_blank" >GAP406/12/0298: Speaker-specific characteristics in Czech and their potential applicability in forensic phonetic practice</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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