期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2014
卷号：5
期号：4
DOI：10.14569/IJACSA.2014.050412
出版社：Science and Information Society (SAI)
摘要：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.
关键词：thesai; IJACSA; thesai.org; journal; IJACSA papers; acoustic features; orthogonal experiment; the SVM classifier; CHI statistical methods; features level fusion; LBS vector quantization algorithm
