A Hybrid Method of User Identification with Use Independent Speech and Facial Asymmetry

Authors:
Mariusz Kubanek;Szymon Rydzek
Affiliations:
Institute of Computer and Information Science Center for Intelligent Multimedia Techniques, Czestochowa University of Technology, Czestochowa, Poland 42-200;Institute of Computer and Information Science Center for Intelligent Multimedia Techniques, Czestochowa University of Technology, Czestochowa, Poland 42-200
Venue:
ICAISC '08 Proceedings of the 9th international conference on Artificial Intelligence and Soft Computing
Year:
2006

Citing 4
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Abstract

Speaker identification is the process of identifying an unknown speaker from a set of known speakers. In a speaker identification or verification, the prime interest is not in recognizing the words but determining who is speaking the words. In systems of speaker identification, a test of signal from an unknown speaker is compared to all known speaker signals in the set. The signal that has the maximum probability is identified as the unknown speaker. In security systems based on speaker identification, faultless identification has huge meaning for safety.In aim of increasing safety, in this work it was proposed own approach to user identification, based on independent speech and facial asymmetry. Extraction of the audio features of person's speech is done using mechanism of cepstral speech analysis.The part of the work that deals with face recognition was based on the technique of automatic authentication of a person with assumption that the use of automatically extracted, structural characteristics of the face asymmetry (in particular within the eyes and mouth regions as the most informative parts of the face) leads to improvement of the biometrical authentication systems.Finally, the paper will show results of user identification.