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

Cuesta-Albertos, Juan Antonio, Ricardo Fraiman, Antonio Galves, Jesús Garcia and Marcela Svarc

Journal of Applied Statistics, 2007, vol. 34, issue 6, pages 749-761

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 (search for similar items in EconPapers)

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