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

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

AI - Jazykověda

OECD FORD obor

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Projekt

<a href="/cs/project/GAP406%2F12%2F0298" target="_blank" >GAP406/12/0298: Individuální rysy mluvčího v češtině a jejich možné využití ve forenzně fonetické praxi</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2013

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Acta Universitatis Carolinae - Philologica

ISSN

0567-8269

e-ISSN

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Svazek periodika

2014

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

11

Strana od-do

9-19

Kód UT WoS článku

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EID výsledku v databázi Scopus

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