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

doi:10.1109/CIC.2006.58

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

Escuela Superior de Ingeniería Mecánica y Eléctrica (ESIME), Unidad Culhuacán

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 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 language	English
Title of host publication	Proceedings - 15th International Conference on Computing, CIC 2006
Pages	115-120
Number of pages	6
DOIs	https://doi.org/10.1109/CIC.2006.58
State	Published - 2006
Event	15th International Conference on Computing, CIC 2006 - Mexico City, Mexico Duration: 21 Nov 2006 → 24 Nov 2006

Publication series

Name	Proceedings - 15th International Conference on Computing, CIC 2006

Conference

Conference	15th International Conference on Computing, CIC 2006
Country/Territory	Mexico
City	Mexico City
Period	21/11/06 → 24/11/06

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10.1109/CIC.2006.58

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Mantilla, A., Pérez-Meana, H., Mata, D., Angeles, C., Alvarado, J., & Cabrera, L. (2006). Recognition of vowel segments in Spanish esophageal speech using Hidden Markov models. In Proceedings - 15th International Conference on Computing, CIC 2006 (pp. 115-120). Article 4023797 (Proceedings - 15th International Conference on Computing, CIC 2006). https://doi.org/10.1109/CIC.2006.58

@inproceedings{47ce42e20f1949c1ab790e20991605c7,

title = "Recognition of vowel segments in Spanish esophageal speech using Hidden Markov models",

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.",

author = "Alfredo Mantilla and H{\'e}ctor P{\'e}rez-Meana and Daniel Mata and Carlos Angeles and Jorge Alvarado and Laura Cabrera",

year = "2006",

doi = "10.1109/CIC.2006.58",

language = "Ingl{\'e}s",

isbn = "0769527086",

series = "Proceedings - 15th International Conference on Computing, CIC 2006",

pages = "115--120",

booktitle = "Proceedings - 15th International Conference on Computing, CIC 2006",

note = "15th International Conference on Computing, CIC 2006 ; Conference date: 21-11-2006 Through 24-11-2006",

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Mantilla, A, Pérez-Meana, H, Mata, D, Angeles, C, Alvarado, J & Cabrera, L 2006, Recognition of vowel segments in Spanish esophageal speech using Hidden Markov models. in Proceedings - 15th International Conference on Computing, CIC 2006., 4023797, Proceedings - 15th International Conference on Computing, CIC 2006, pp. 115-120, 15th International Conference on Computing, CIC 2006, Mexico City, Mexico, 21/11/06. https://doi.org/10.1109/CIC.2006.58

Recognition of vowel segments in Spanish esophageal speech using Hidden Markov models. / Mantilla, Alfredo; Pérez-Meana, Héctor; Mata, Daniel et al.
Proceedings - 15th International Conference on Computing, CIC 2006. 2006. p. 115-120 4023797 (Proceedings - 15th International Conference on Computing, CIC 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Pérez-Meana, Héctor

AU - Mata, Daniel

AU - Angeles, Carlos

AU - Alvarado, Jorge

AU - Cabrera, Laura

PY - 2006

Y1 - 2006

N2 - 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.

AB - 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.

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M3 - Contribución a la conferencia

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BT - Proceedings - 15th International Conference on Computing, CIC 2006

T2 - 15th International Conference on Computing, CIC 2006

Y2 - 21 November 2006 through 24 November 2006

ER -

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

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