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5 results for “M. Guerti”
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Research ArticleOpen accessIn the author namesStatic Segmentation of the Lips for Follow-UpM. L. Hamidatou, M. Guerti, S. Ait-AoudiaProblem statement: The objective of this study particularly aims the static segmentation of the lips. Approach: For that, we proposed algorithms for the determination of certain characteristic points of the lips, as well as a method of optimal slope allowing to trace the cubic ones forming external contours of the lips. Results: Finally to make sure of the performance of … …Journal of Computer Science, Vol. 5, Issue 12 · 31 Dec 2009 · 6,761 accessesView PDFCite
Research ArticleOpen accessIn the author namesExtraction of Arabic Standard MicromelodyA. Chentir, M. Guerti, D. J. HirstProblem statement: In the early days of speech synthesis research the obvious focus of attention was intelligibility. But many researchers agree that the major remaining obstacle to fully acceptable synthetic speech is that it continues to be insufficiently natural. Approach: In this study, we exploited microvariations of fundamental frequency (F0) of speech (intrinsic and co-intrinsic effects) to extract micromelody effect … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 7,291 accessesView PDFCite
Research ArticleOpen accessIn the author namesClassification by Discriminant Analysis of Energy in View of the Detection of Accented Syllables in Standard ArabicA. Chentir, M. Guerti, D. J. HirstProblem Statement: Current algorithms for the recognition and synthesis of Arabic prosody concentrate on identifying the primary stressed syllable of accented words on the basis of fundamental frequency. Generally, the three acoustic parameters used in prosody are: Fundamental frequency, duration and energy. Approach: In this study, we exploited the acoustic parameter of energy by means of a classification by a … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,828 accessesView PDFCite
Research ArticleOpen accessIn the author namesArabic Speech Pathology Therapy Computer Aided SystemZ. A. Benselama, M. Guerti, M. A. BencherifThis article concerns a computer aided pathological speech therapy program, based on speech models such as the hidden Markov model and artificial intelligence networks, in order to help persons, suffering from language pathologies, follow a correction learning process, with different interactive feedbacks, aiming to evaluate the degree of evolution of the illness or the therapy. We dealt with the Arabic … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,937 accessesView PDFCite