Modeling of Acoustic Signal Energies with a Generalized Frank Copula. A Linguistic Conjecture is Reviewed

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Author(s):	Garcia, Jesus E. ; Gonzalez-Lopez, V. A. Total Authors: 2
Document type:	Journal article
Source:	COMMUNICATIONS IN STATISTICS-THEORY AND METHODS; v. 43, n. 10-12, p. 11-pg., 2014-05-15.
Abstract
In this article a generalized Frank copula was selected to model the dependence between the energy on two frequency bands of the speech signal, coming from eight languages. An algorithm was developed that uses maximum likelihood to choose the best fitting copula's parameters. Through bootstrap, the algorithm estimates the variability of the parameters for each language and also computes confidence regions by means of Voronoi tesselations. A linguistic conjecture which claims that the languages are organized in three rhythmic classes, was confirmed by the Voronoi regions. Modeling with a uniparametric Frank copula, the different degrees of dependence between the energies were quantified. (AU)

FAPESP's process:	13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:	Oswaldo Baffa Filho
Support Opportunities:	Research Grants - Research, Innovation and Dissemination Centers - RIDC


FAPESP's process:	12/06078-9 - Portuguese in time and space: linguistic contact, grammars in competition and parametric change
Grantee:	Charlotte Marie Chambelland Galves
Support Opportunities:	Research Projects - Thematic Grants