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Title: BECARS : a free software for speaker verification
Authors: Blouet, Raphael
Mokbel, Chafic 
Mokbel, Hoda
Soto, Eduardo Sanchez
Chollet, Gérard
Greige, Hanna 
Affiliations: Department of Electrical Engineering 
Department of Mathematics 
Issue Date: 2004
Conference: Speaker and Language Recognition Workshop (31 May- 3 June 2004 : Toledo, Spain) 
The aim of Automatic Speaker Verification (ASV) is to detect whether a speech segment has been ut-tered 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¤ 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.
Open URL: Link to full text
Type: Conference Paper
Appears in Collections:Department of Electrical Engineering

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