Subject-independent acoustic-to-articulatory mapping of fricative sounds by using vocal tract length normalization

Sepúlveda-Sepúlveda, Alexander and Castellanos-Domínguez, Germán and Gómez Vilda, Pedro (2015). Subject-independent acoustic-to-articulatory mapping of fricative sounds by using vocal tract length normalization. "Revista Facultad de Ingeniería" (n. 77); pp. 162-169. ISSN 2357-5328. https://doi.org/10.17533/udea.redin.n77a19.

Description

Title: Subject-independent acoustic-to-articulatory mapping of fricative sounds by using vocal tract length normalization
Author/s:
  • Sepúlveda-Sepúlveda, Alexander
  • Castellanos-Domínguez, Germán
  • Gómez Vilda, Pedro
Item Type: Article
Título de Revista/Publicación: Revista Facultad de Ingeniería
Date: 2015
ISSN: 2357-5328
Subjects:
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

This paper presents an acoustic-to-articulatory (AtoA) mapping method for tracking the movement of the critical articulators on fricative utterances. The proposed approach applies a vocal tract length normalization process. Subsequently, those acoustic time-frequency features better related to movement of articulators from the statistical perspective are used for AtoA mapping. We test this method on the MOCHA-TIMIT database, which contains signals from an electromagnetic articulograph system. The proposed features were tested on an AtoA mapping system based on Gaussian mixture models, where Pearson correlation coeffi cient is used to measure the goodness of estimates. Correlation value between the estimates and reference signals shows that subject-independent AtoA mapping with proposed approach yields comparable results to subject-dependent AtoA mapping.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2012-38630-C04-01UnspecifiedUniversidad Politécnica de MadridEVALUACION MULTIMODAL DE TRASTORNOS NEUROLOGICOS MEDIANTE LA CARACTERIZACION DE LA VOZ, DINAMICA DE LOS PLIEGUES VOCALES Y SECUENCIAS SACADICAS
Government of SpainTEC2012-38630-C04-04UnspecifiedUniversidad Politécnica de MadridDETECCION DEL TRASTORNO NEUROLOGICO POR MEDIO DE CORRELATOS DE LA FONACION OBTENIDOS POR MODELADO INVERSO A PARTIR DE LA FUENTE GLOTICA

More information

Item ID: 40916
DC Identifier: http://oa.upm.es/40916/
OAI Identifier: oai:oa.upm.es:40916
DOI: 10.17533/udea.redin.n77a19
Official URL: http://aprendeenlinea.udea.edu.co/revistas/index.php/ingenieria/article/view/22628
Deposited by: Memoria Investigacion
Deposited on: 26 Oct 2016 09:24
Last Modified: 05 Jun 2019 17:36
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