ODYSSEY 2004 - The Speaker and Language Recognition Workshop
May 31 - June 3, 2004
The aim of Automatic Speaker Verification (ASV) is to detect whether a speech segment has been uttered by the claimed identity or by an impostor. Our contribution includes the distribution of BECARS , a free software based on Gaussian Mixture Models (GMM) for Automatic Speaker Verification (ASV), and the design of a new methodology to estimate the decision score in an ASV system. BECARS in available at http://www.tsi.enst.fr/~blouet/Becars/ . The main characteristic of this software is to allow the use of several adaptation techniques including the most common ones such as Maximum A Posteriori (MAP) and Maximum Likelihood Linear Regression (MLLR). The proposed method for score computation is based on the use of a hierarchical Gaussian clusterization method that we describe in details in this paper.
We introduce this work with a general summary of Automatic Speaker Verification (ASV), followed by a description of the adaptation technique available in BECARS used in this work. We then present and evaluate our score computation scheme before concluding the paper.
Bibliographic reference. Blouet, Raphael / Mokbel, Chafic / Mokbel, Hoda / Soto, Eduardo Sánchez / Chollet, Gérard / Greige, Hanna (2004): "BECARS: a free software for speaker verification", In ODYS-2004, 145-148.