Analysis and recognition of voiced segments of esophageal speech

Alfredo Mantilla, Héctor Pérez-Meana, Daniel Mata, Carlos Angeles, Jorge Alvarado, Laura Cabrera

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper presents a system for analysis and recognition of voiced segments in Spanish esophageal speech. It exposes the mathematical fundaments for the voiced speech segments analysis algorithm, based in the formant extraction method as well as the recognition stage through the artificial neural networks. Simulation results are presented for normal and esophageal speech. The system was implemented in a real time processing platform based in a digital signal processor TMS320C5416 of Texas Instruments.

Original languageEnglish
Title of host publicationProceedings - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2006
Pages236-244
Number of pages9
DOIs
StatePublished - 2006
EventElectronics, Robotics and Automotive Mechanics Conference, CERMA 2006 - Cuernavaca, Morelos, Mexico
Duration: 26 Sep 200629 Sep 2006

Publication series

NameProceedings - Electronics, Robotics and Automotive Mechanics Conference, CERMA 2006
Volume2

Conference

ConferenceElectronics, Robotics and Automotive Mechanics Conference, CERMA 2006
Country/TerritoryMexico
CityCuernavaca, Morelos
Period26/09/0629/09/06

Fingerprint

Dive into the research topics of 'Analysis and recognition of voiced segments of esophageal speech'. Together they form a unique fingerprint.

Cite this