Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/49361
Type: Artigo de Periódico
Title: A method for lexical tone classification in audio-visual speech
Authors: João Vítor Possamai de Menezes
Maria Mendes Cantoni
Denis Burnham
Adriano Vilela Barbosa
Abstract: This work presents a method for lexical tone classification in audio-visual speech. The method is applied to a speech data set consisting of syllables and words produced by a female native speaker of Cantonese. The data were recorded in an audio-visual speech production experiment. The visual component of speech was measured by tracking the positions of active markers placed on the speaker's face, whereas the acoustic component was measured with an ordinary microphone. A pitch tracking algorithm is used to estimate F0 from the acoustic signal. A procedure for head motion compensation is applied to the tracked marker positions in order to separate the head and face motion components. The data are then organized into four signal groups: F0, Face, Head, Face+Head. The signals in each of these groups are parameterized by means of a polynomial approximation and then used to train an LDA (Linear Discriminant Analysis) classifier that maps the input signals into one of the output classes (the lexical tones of the language). One classifier is trained for each signal group. The ability of each signal group to predict the correct lexical tones was assessed by the accuracy of the corresponding LDA classifier. The accuracy of the classifiers was obtained by means of a k-fold cross validation method. The classifiers for all signal groups performed above chance, with F0 achieving the highest accuracy, followed by Face+Head, Face, and Head, respectively. The differences in performance between all signal groups were statistically significant.
Subject: Fala
language: eng
metadata.dc.publisher.country: Brasil
Publisher: Universidade Federal de Minas Gerais
Publisher Initials: UFMG
metadata.dc.publisher.department: FALE - FACULDADE DE LETRAS
Rights: Acesso Aberto
metadata.dc.identifier.doi: https://doi.org/10.20396/joss.v9i00.14960
URI: http://hdl.handle.net/1843/49361
Issue Date: 2020
metadata.dc.url.externa: https://econtents.bc.unicamp.br/inpec/index.php/joss/article/view/14960
metadata.dc.relation.ispartof: Journal of Speech Sciences
Appears in Collections:Artigo de Periódico

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