Recognition of Vowel Segments in Spanish Esophageal Speech Using Hidden Markov Models

Author

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

Author_Institution

Departamento de Electronica, ITESM, Mexico

fYear

2006

fDate

Nov. 2006

Firstpage

115

Lastpage

120

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

Keywords

feature extraction; hidden Markov models; natural language processing; speech recognition; Spanish esophageal speech; feature extraction; formant analysis; hidden Markov models; linear prediction coefficients; mel frequency cepstral coefficients; vowel segment recognition; Algorithm design and analysis; Cepstral analysis; Esophagus; Feature extraction; Hidden Markov models; Linear predictive coding; Mel frequency cepstral coefficient; Signal processing algorithms; Speech analysis; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing, 2006. CIC '06. 15th International Conference on

Conference_Location

Mexico City

Print_ISBN

0-7695-2708-6

Type

conf

DOI

10.1109/CIC.2006.58

Filename

4023797