Study on Method of Feature Selection in Speech Content Classification
Si An, Xinghua Fan · International Journal of Advanced Computer Science and Applications · 2014
Information communication is developing rapidly now, Voice communication from a distance is more and more popular. In order to evaluate and classify the content correctly, the acoustic features is used to analyze first in this paper, Orthogonal experiment[1] method is used to find out characteristic of voice that has contribution to the speech content classification then make it and the textual characteristic together. The result of experiments shows that the feature combination of voice and content has better effect on voice content classification, the effectiveness has been improved.