Title :
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
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;
Conference_Titel :
Computing, 2006. CIC '06. 15th International Conference on
Conference_Location :
Mexico City
Print_ISBN :
0-7695-2708-6
DOI :
10.1109/CIC.2006.58
