A Nonlinearized Discriminant Analysis and Its Application to Speech Impediment Therapy [chapter]

András Kocsor, László Tóth, Dénes Paczolay
2001 Lecture Notes in Computer Science  
This paper studies the application of automatic phoneme classification to the computer-aided training of the speech and hearing handicapped. In particular, we focus on how efficiently discriminant analysis can reduce the number of features and increase classification performance. A nonlinear counterpart of Linear Discriminant Analysis, which is a general purpose class specific feature extractor, is presented where the nonlinearization is carried out by employing the so-called 'kernel-idea'.
more » ... , we examine how this nonlinear extraction technique affects the efficiency of learning algorithms such as Artificial Neural Network and Support Vector Machines.
doi:10.1007/3-540-44805-5_33 fatcat:nr2h6sses5bufn3pc5bgdkovay