ITRW on Non-Linear Speech Processing (NOLISP 07) Paris, France May 22-25, 2007

Multi-Filter-Bank Approach for Speaker Verification Based on Genetic Algorithm

Christophe Charbuillet, Bruno Gas, Mohamed Chetouani, Jean Luc Zarader

Université Pierre et Marie Curie - Paris 6, France
Institut des Systèmes Intelligents et Robotique (ISIR), Ivry sur Seine, France

Speech recognition systems usually need a feature extraction stage which aims at obtaining the best signal representation. State of the art speaker verification systems are based on cepstral features like MFCC, LFCC or LPCC. In this article, we propose a feature extraction system based on the combination of three feature extractors adapted to the speaker verification task. A genetic algorithm is used to optimize the features complementarities. This optimization consists in designing a set of three non linear scaled filter banks. Experiments are carried out using a state of the art speaker verification system. Results show that the proposed method improves significantly the system performances on the 2005 Nist SRE Database. Furthermore, the obtained feature extractors show the importance of some specific spectral information for speaker verification.

Full Paper

Bibliographic reference.  Charbuillet, Christophe / Gas, Bruno / Chetouani, Mohamed / Zarader, Jean Luc (2007): "Multi-filter-bank approach for speaker verification based on genetic algorithm", In NOLISP-2007, 23-26.