VSA - Characterization of new parameters of the voice production mechanism with applications.

• Grant number: 07/05070-6
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: December 01, 2007
• End date: August 31, 2008
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Rodrigo Capobianco Guido
• Grantee: Sylvio Barbon Junior
• Host Institution: Instituto de Física de São Carlos (IFSC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Associated research grant: 05/00015-1 - SpeechAuth: development of a biometric authentication and comand interpretation system based on speech processing, AP.JP

Abstract

The principal issue the project VSA (Voice Signal Analyzer) treats is the characterization and analysis of the voice production mechanism based on new parameters that form a novel mathematical model to describe the mentioned system. In this context, and in a first moment, the new extracted data will be used to uniquely identify a speaker. Following, the intention is to characterize disfunctions in the voice production system, and, lastly, to study how a factor responsible for the disfunction can affect a system for speech-based biometric identification.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

BARBON JUNIOR, Sylvio. Identification of pathology in larynx based on Discriminative Paraconsistent Machine. 2011. Doctoral Thesis - Universidade de São Paulo (USP). Instituto de Física de São Carlos (IFSC/BT) São Carlos.