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 ENG  Vol.8 No.9 , September 2016
Phoneme Sequence Modeling in the Context of Speech Signal Recognition in Language “Baoule”
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.
Cite this paper: 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.
References

[1]   Baum, L.E., Petrie, T., Soules, G. and Weiss, N. (1970) A Maximization Technique Occurring in Statistical Analysis of Probabilistic Functions in Markov Chains. The Annals of Mathematical Statistics, 41, 164-171.
http://dx.doi.org/10.1214/aoms/1177697196

[2]   Casacuberta, F. (1990) Some Relations among Stochastic Finite State Networks Used in Automatic Speech Recognition. IEEE Ttransactions on patern Analysis and Machine Intelligence, 12, 691-695.
http://dx.doi.org/10.1109/34.56212

[3]   Lekoundji, J.-B.V. (2014) Modèles De Markov Cachés. Université Du Québec à Montréal.

[4]   Rabiner, L.R. (1989) A Tutorial on Hidden Markov Models and Selected Application in Speech Recognition. Proceedings of the IEEE, 77, 257-286.
http://dx.doi.org/10.1109/5.18626

[5]   Kundu, A., He, Y. and Bahl, P. (1988) Recognition of Handwritten Word: First and Second Order Hiden Markov Model Based Approach. IEEE Computer Society Conference on Computer Vision Pattern Recognition, CVPR’88, Ann Arbor, 5-9 June 1988, 457-462.
http://dx.doi.org/10.1109/CVPR.1988.196275

[6]   Schenkel, M., Guyon, I. and Henderson, D. (1994) On-Line Cursive Script Recognition Using Time Delay Neural Networks and Hidden Markov Models. Proceedings of 1994 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP’94, Adelaide, 19-22 April 1994, II-637-II-640.
http://dx.doi.org/10.1109/icassp.1994.389575

[7]   Haussler, D., Krogh, A., Mian, S. and Sjolander, K. (1992) Protein Modeling Using Hidden Markov Models: Analysis of Globins. Technical Report UCSC-CRL-92-23.

[8]   Durbin, R., Eddy, S., Krogh, A. and Mitchison, G. (1998) Biological Sequence Analysis Probabilistic Models of Proteins and Nucleic Acids. Cambridge University Press, Cambridge.
http://dx.doi.org/10.1017/CBO9780511790492

[9]   In François Le Gland (2014-2015) Télécom Bretagne Module F4B101A Traitement Statistique de l’Information.
http://www.irisa.fr/aspi/legland/telecom-bretagne/

[10]   Corge, C. (1975) Elément d’informatique. Informatique et demarche de l’esprit. Librairie Larousse, Paris.

 
 
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