Abstract :
The problem of identifying people based solely upon samples of their speech is viewed as a statistical pattern classification problem, emphasizing the portion of the process in which an informative, concise set of features is extracted from the speech signal. This work takes into account both the limited amount of data available in a real application and the statistical dependence among the various proposed features. In addition, the results of feature evaluation should apply to speakers not involved in the evaluation set.
Keywords :
Analysis of variance, discriminant analysis, eigenvector solution, feature evaluation, pattern recognition, speaker identification.; Analysis of variance; Data mining; Feature extraction; Multidimensional systems; Pattern analysis; Pattern classification; Pattern recognition; Signal processing; Speech processing; Vehicles; Analysis of variance, discriminant analysis, eigenvector solution, feature evaluation, pattern recognition, speaker identification.;
