ITRW on
Non-Linear Speech Processing (NOLISP 03)

May 20-23, 2003
Le Croisic, France

Application of the MLVQ1 in Speaker Identification

S. Ouamour-Sayoud, H. Sayoud, M. Boudraa

USTHB, Institut d'Electronique, Bab-Ezzouar, Alger, Algeria

In this paper we describe a new method, in automatic speaker recognition, based on modified LVQ1 (MLVQ1) and using 3 prosodic features: the mean of the pitch, the original duration and the low-frequency energy. For this purpose, we conceived a new metric, optimized in automatic speaker recognition, which we called ODHEF. The tests of speaker recognition are done in Arabic corpus with 2 different sets: a closed set and an open set. The results show that the prosodic features are relevant and that the modified LVQ1 (MLVQ1) method is interesting in text-dependent speaker identification.

Full Paper

Bibliographic reference.  Ouamour-Sayoud, S. / Sayoud, H. / Boudraa, M. (2003): "Application of the MLVQ1 in speaker identification", In NOLISP-2003, paper 007.