Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/55983
Type: Artigo de periódico
Title: Classifying speech sonority functional data using a projected Kolmogorov-Smirnov approach
Author: Cuesta-Albertos, JA
Fraiman, R
Galves, A
Garcia, J
Svarc, M
Abstract: This paper addresses a linguistically motivated question of classification of functional data, namely the statistical classification of languages according to their rhythmic features. This is an important open problem in phonology. The analysis is based on the information provided by the sonority, which is an index of local regularity of the speech signal. Our main tool is the projected Kolmogorov-Smirnov test. This is a new goodness of fit test for functional data. The result obtained supports the linguistic conjecture of the existence of three rhythmic classes.
Subject: classification of languages
rhythmic classes
functional data
projected Kolmogorov-Smirnov test
Country: Inglaterra
Editor: Routledge Journals, Taylor & Francis Ltd
Rights: fechado
Identifier DOI: 10.1080/02664760701237077
Date Issue: 2007
Appears in Collections:Unicamp - Artigos e Outros Documentos

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