Crime automatic speaker verification and identification system

Abstract

A new automatic speaker verification process was presented at the Eighth Annual International Conference on Signal Processing Applications and Technology (ICSPAT ’97), San Francisco, CA (I. I. Gorban, Robust Speaker Verification Algorithms). On the basis of these algorithms the crime automatic speaker verification and identification (CASVI) system has been created. The main feature of the system is that it is possible to verify and identify a speaker when the speech records are very corrupted and/or contain extraneous noise. Testing conducted under different conditions has shown that the CASVI system works well when the level of frequency distortions is lower than 35 dB and the level of the signal-to-noise ratio is lower than 12 dB. These results have been obtained for a new modification of the algorithms in which the adaptive threshold verification process is included and the identification algorithms are added. A description of the CASVI system, it’s algorithms, the methodology, and the results of the system testing will also be presented at the meeting.