Artículos de revistas
Classifying speech sonority functional data using a projected Kolmogorov-Smirnov approach
Registro en:
Journal Of Applied Statistics. Routledge Journals, Taylor & Francis Ltd, v. 34, n. 6, n. 749, n. 761, 2007.
0266-4763
WOS:000248859600008
10.1080/02664760701237077
Autor
Cuesta-Albertos, JA
Fraiman, R
Galves, A
Garcia, J
Svarc, M
Institución
Resumen
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. 34 6 749 761