Speaker identification for security systems using reinforcement-trained pRAM neural network architectures
Ημερομηνία
2001Συγγραφέας
Clarkson, T. G.![ORCID logo](https://orcid.org/sites/default/files/images/orcid_16x16.png)
Guan, Y.
Gorse, D.
Romano-Critchley, D. A.
Taylor, J. G.
ISSN
1094-6977Source
IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and ReviewsVolume
31Issue
1Pages
65-76Google Scholar check
Keyword(s):
Metadata
Εμφάνιση πλήρους εγγραφήςΕπιτομή
Four probabilistic pRAM neural network architectures are presented to explain have the different pRAM network architectures perform a classification. In addition, it is shown where the difficulties lie in seperating different speakers using the time encoded signal processing and recognition (TESPAR) representations. A performance of approximately 97% correct classifications is obtained which is similar to results obtained elsewhere.