Modèles de Markov cachés pour l'estimation de plusieurs fréquences fondamentales

Resume. Un algorithme d’estimation de la frequence fondamentale de signaux sonores est introduit: il utilise une modelisation du spectrogramme du signal a l’aide d’un modele de Markov cache factoriel, dont les parametres sont estimes de maniere discriminative a partir de la base de donnees de Keele (Plante et al., 1995). Les algorithmes presentes permettent de suivre plusieurs frequences fondamentales et de determiner le nombre de frequences presentes a chaque instant. Les resultats de simulations, effectuees sur des melanges de signaux de parole et du bruit, illustrent la robustesse de l’approche presentee.

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