Speaker identification

Article type: Research Article

Authors: Lipeika, Antanas | Lipeikienė, Joana

Affiliations: Institute of Mathematics and Informatics, 2600 Vilnius, Akademijos St.4, Lithuania

Abstract: Speaker identification problem is investigated. The identification is carried out comparing feature vectors (parameters of LPC model) of the “criminal” and “suspicious” speakers. Both likelihood ratio and cepstral distances are used for comparing feature vectors. The feature vectors are extracted from pseudostationary parts of speech utterances. The identification approach is suitable for text-dependent and text-independent identification. Experimental results illustrate the performance of the algorithm.

Keywords: likelihood ratio distance, cepstral distance, pseudostationary segments, distance measure

DOI: 10.3233/INF-1993-41-203

Journal: Informatica, vol. 4, no. 1-2, pp. 45-56, 1993