Title :
Online text-independent speaker verification system using autoassociative neural network models
Author :
Kishore, S.P. ; Yegnanarayana, B. ; Gangashetty, Suryakanth V.
Author_Institution :
Dept. of Comput. Sci. & Eng., Indian Inst. of Technol., Madras, India
Abstract :
In this paper, we present an approach based on autoassociative neural network (AANN) model for online implementation of text-independent speaker verification system. The distribution capturing ability of an AANN model is exploited to build the speaker model. A rank-based approach using individual background models is used to verify the claim of the speaker
Keywords :
neural nets; online operation; speaker recognition; AANN model; autoassociative neural network models; distribution capturing ability; online text-independent speaker verification system; rank-based approach; Authentication; Biometrics; Computer science; Feature extraction; Feedforward neural networks; Neural networks; Spatial databases; Speech; Testing; Transaction databases;
Conference_Titel :
Neural Networks, 2001. Proceedings. IJCNN '01. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-7044-9
DOI :
10.1109/IJCNN.2001.939595
