On the use of Expert Systems for Speaker Verification

Autor:	E. D. Frangoulis, D. A. Gaganelis
Rok vydání:	1991
Předmět:	ComputingMethodologies_PATTERNRECOGNITION Telephone network Speaker verification Computer science Speech recognition Cepstrum coefficients Anomaly detection Quadratic classifier Cluster analysis computer.software_genre computer Classifier (UML) Expert system
Zdroj:	Engineering Systems with Intelligence ISBN: 9789401051309
DOI:	10.1007/978-94-011-2560-4_17
Popis:	In this paper we report on the use of Expert System shells for automatic speaker verification over the public telephone network. The operation of the automatic speaker verification system, (ASV), is based on LPC normalized and differenced cepstrum coefficients. An Expert System has been introduced to assist in the construction of the reference templates. This Expert System is based on rules that relate to outlier detection through K-Means clustering among the training tokens for each verification word. The Expert System has additional rules referring to the combination of independent statistical classifiers for the classification of unlabelled utterances. The classifiers considered in this paper are the standard Gaussian classifier, the Quadratic classifier and the Fourier-Bessel classifier.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::10b23474b6f2ee1e89bf9a3a66660768 https://doi.org/10.1007/978-94-011-2560-4_17 Zobrazit plný text záznamu