Author(s)

Hyacinthe Konan^1*, Etienne Soro¹, Olivier Asseu^1,2*, Bi Tra Goore², Raymond Gbegbe²

¹Ecole Supérieure Africaine des Technologies d’Information et de Communication (ESATIC), Abidjan, C?te d’Ivoire.
²Institut National Polytechnique Félix Houphou?t Boigny (INP-HB), Yamoussoukro, C?te d’Ivoire.

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.

HMM, MATLAB, Language Model, Acoustic Model, Recognition Automatic Speech

Konan, H. , Soro, E. , Asseu, O. , Goore, B. and Gbegbe, R. (2016) Phoneme Sequence Modeling in the Context of Speech Signal Recognition in Language “Baoule”. Engineering, 8, 597-617. doi: 10.4236/eng.2016.89055.