The Centisecond Two Levels Hidden Semi Markov Model (CTLHSMM)

Bialystok, Poland September 13-September 17

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http://doi.ieeecomputersociety.org/10.1109/PARELEC.2006.77

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	Abdellah Yousfi, Abdelouafi Meziane, "The Centisecond Two Levels Hidden Semi Markov Model (CTLHSMM)," Parallel Computing in Electrical Engineering, International Conference on, pp. 101-104, International Symposium on Parallel Computing in Electrical Engineering (PARELEC'06), 2006.

	BibTex	x
	@article{ 10.1109/PARELEC.2006.77, author = {Abdellah Yousfi and Abdelouafi Meziane}, title = {The Centisecond Two Levels Hidden Semi Markov Model (CTLHSMM)}, journal ={Parallel Computing in Electrical Engineering, International Conference on}, volume = {0}, year = {2006}, isbn = {0-7695-2554-7}, pages = {101-104}, doi = {http://doi.ieeecomputersociety.org/10.1109/PARELEC.2006.77}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Parallel Computing in Electrical Engineering, International Conference on TI - The Centisecond Two Levels Hidden Semi Markov Model (CTLHSMM) SN - 0-7695-2554-7 SP101 EP104 A1 - Abdellah Yousfi, A1 - Abdelouafi Meziane, PY - 2006 KW - null VL - 0 JA - Parallel Computing in Electrical Engineering, International Conference on ER -

Abdellah Yousfi, University Mohammed V, Morocco

Abdelouafi Meziane, University Mohamed First, Morocco

A major deficiency of standard Hidden Markov Models (HMM) is that both the spectral and the prosodic feature are uniformly processed. To combine more efficiently the prosodic cues with the acoustic ones, a segmental two levels Hidden Markov Model has been recently studied by suaudeau [Suaudeau 94].

In this paper, we present an adapted version of this model in wich the segmental processing is replaced by the classical centisecond processing. This new model is called Centisecond Two Levels Hidden Semi Markov Model (CTLHSMM)). Our approach retains the traditionnal hierarchical structure of an HMM, and facilitate the introduction of others prosodic parameters [Caliope 89](in particular the energy) in the phonetic level.

Experiments on a french database composed of 20 numbers show that this model reduces the recognition error rates.

Citation:

Abdellah Yousfi, Abdelouafi Meziane, "The Centisecond Two Levels Hidden Semi Markov Model (CTLHSMM)," parelec, pp.101-104, International Symposium on Parallel Computing in Electrical Engineering (PARELEC'06), 2006

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