Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/55983
Type: Artigo
Title: Classifying speech sonority functional data using a projected kolmogorov-smirnov approach
Author: Cuesta-Albertos, Juan Antonio
Fraiman, Ricardo
Galves, Antonio
Garcia, Jesús
Svarc, Marcela
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.
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 o
Subject: Linguagem – Estudo e ensino – Métodos estatísticos
Distribuição (Probabilidades)
Testes de Kolmogorov-Smirnov
Country: Reino Unido
Editor: Taylor & Francis
Citation: Journal Of Applied Statistics. Routledge Journals, Taylor & Francis Ltd, v. 34, n. 6, n. 749, n. 761, 2007.
Rights: Fechado
Identifier DOI: 10.1080/02664760701237077
Address: https://www.tandfonline.com/doi/abs/10.1080/02664760701237077
Date Issue: 2007
Appears in Collections:IMECC - Artigos e Outros Documentos

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