Speaker identification and verification using Gaussian mixture speaker models
Speech Communication
Automatic Speech and Speaker Recognition: Advanced Topics
Automatic Speech and Speaker Recognition: Advanced Topics
Recent Advances in Speaker Recognition (Invited Paper)
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
A tutorial on text-independent speaker verification
EURASIP Journal on Applied Signal Processing
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Telematics and Informatics
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In this paper we present a new speaker recognition system based on the fusion of two identification classifiers followed by a verification step. The user pronounces two passwords: the first one is composed by three words uniquely combined from a set of 21 possible words, while the second password represents the name of the user. The first step of the proposed system uses the first password to feed two identification classifiers: a speaker identification system (text independent) and a isolated word identification system (speaker independent). The isolated word identification system is constructed as the fusion of three classifiers, one for each word of the first password. The aim of this first step is to identify a couple speaker/password corresponding to the first password by combining the results of the two identification classifiers. A verification system is then applied on the second password in order to confirm or infirm the identification result (speaker identity) given by the fusion above. Compared with a state of the art speaker recognition system (text dependent) that gives an EER of 4.76%, the first step of the proposed system provides an EER of 0.38%, while the second step an EER of 0.26% for a text independent verification and of 0.13% for a text dependent verification.