Mineichi Kudo, Jun Toyama, Masaru Shimbo
Information Processing Laboratory
Division of Systems and Information Engineering
Graduate School of Engineering
Hokkaido University, Sapporo 060-8628, JAPAN
{mine,jun,shimbo}@main.eng.hokudai.ac.jp
Date Donated: June 13, 2000
Distinguish nine male speakers by their utterances of two Japanese vowels /ae/.
The training file 'ae.train' was used for constructing the classifier and the test file 'ae.test' was used for obtaining the generalization classification rate.
Results for this dataset are reported in:
M. Kudo, J. Toyama and M. Shimbo. (1999). "Multidimensional Curve Classification Using Passing-Through Regions". Pattern Recognition Letters, Vol. 20, No. 11--13, pages 1103--1111.
The classifier proposed in the paper showed the classification rate of 94.1%, while, a 5-state continuous Hidden Markov Model attained up to 96.2%. However, the proposed classifier was shown in the paper to be able to handle a great variety of datasets. In addition, the classifier helps people to have some intuition about what the obtained classification rule is and how the rule will work.