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Phoneme Sequence Modeling in the Context of Speech Signal Recognition in Language “Baoule”
Ecole Supérieure Africaine des Technologies d’Information et de Communication (ESATIC), Abidjan, C?te d’Ivoire
Ecole Supérieure Africaine des Technologies d’Information et de Communication (ESATIC), Abidjan, C?te d’Ivoire
Ecole Supérieure Africaine des Technologies d’Information et de Communication (ESATIC), Abidjan, C?te d’Ivoire
Institut National Polytechnique Félix Houphou?t Boigny (INP-HB), Yamoussoukro, C?te d’Ivoire
Institut National Polytechnique Félix Houphou?t Boigny (INP-HB), Yamoussoukro, C?te d’Ivoire
- 1 Ecole Supérieure Africaine des Technologies d’Information et de Communication (ESATIC), Abidjan, C?te d’Ivoire
- 2 Ecole Supérieure Africaine des Technologies d’Information et de Communication (ESATIC), Abidjan, C?te d’Ivoire
- 3 Ecole Supérieure Africaine des Technologies d’Information et de Communication (ESATIC), Abidjan, C?te d’Ivoire
- 4 Institut National Polytechnique Félix Houphou?t Boigny (INP-HB), Yamoussoukro, C?te d’Ivoire
- 5 Institut National Polytechnique Félix Houphou?t Boigny (INP-HB), Yamoussoukro, C?te d’Ivoire
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Abstract
This paper presents the recognition of “Baoule” spoken sentences, a language of C?te d’Ivoire. Several formalisms allow the modelling of an automatic speech recognition system. The one we used to realize our system is based on Hidden Markov Models (HMM) discreet. Our goal in this article is to present a system for the recognition of the Baoule word. We present three classical problems and develop different algorithms able to resolve them. We then execute these algorithms with concrete examples.
KeywordsHMMMATLABLanguage ModelAcoustic ModelRecognition Automatic Speech
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