Classifying Speech Sonority Functional Data using a Projected Kolmogorov-Smirnov Approach

Authors: Cuesta-Albertos, Juan Antonio¹; Fraiman, Ricardo²; Galves, Antonio³; Garcia, Jesús⁴; Svarc, Marcela⁵

Source: Journal of Applied Statistics, Volume 34, Number 6, August 2007 , pp. 749-761(13)

Publisher: Routledge, part of the Taylor & Francis Group

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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.

Keywords: Classification of languages; rhythmic classes; functional data; projected Kolmogorov-Smirnov test

Document Type: Research article

DOI: http://dx.doi.org/10.1080/02664760701237077

Affiliations: 1: Universidad de Cantabria, Spain 2: Universidad de San Andrés, Argentina (on leave from the Universidad de la República) 3: Universidade de São Paulo, Brazil 4: Universidade Estadual de Campinas, Brazil 5: Universidad de San Andrés, Argentina

Publication date: 2007-08-01

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