Recognition of vowel segments in Spanish esophageal speech using Hidden Markov models

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

This paper presents a system for recognition of voiced segments in Spanish esophageal speech. It exposes different algorithms for the feature extraction of speech segment like formant analysis, linear prediction coefficients (LPC) and Mel Frequency Cepstral Coefficients (MFCC), as well as, the recognition stage through the Hidden Markov Models. Simulation results are presented for normal and esophageal speech. The system was implemented in a real time processing platform based on a digital signal processor TMS320C5416 of Texas Instruments.

Original languageEnglish (US)
Title of host publicationProceedings - 15th International Conference on Computing, CIC 2006
Pages115-120
Number of pages6
DOIs
StatePublished - 2006
Event15th International Conference on Computing, CIC 2006 - Mexico City, Mexico
Duration: Nov 21 2006Nov 24 2006

Publication series

NameProceedings - 15th International Conference on Computing, CIC 2006

Conference

Conference15th International Conference on Computing, CIC 2006
Country/TerritoryMexico
CityMexico City
Period11/21/0611/24/06

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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