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The Content Based Analysis According to the Composition of the Feature Parameters for the Auditory Data  

한학용 (동아대학교 전자공학과)
허강인 (동아대학교 전자공학과)
김수훈 (부천대학 정보통신계열)
Publication Information
The Journal of the Acoustical Society of Korea / v.21, no.2, 2002 , pp. 182-189 More about this Journal
Abstract
In this paper, we research the content-based analysis and classification according to the composition of the feature parameters pool for the auditory signals to implement the auditory indexing and searching system. Auditory data is classified to the primitive various auditory types. we described the analysis and feature extraction method for the feature parameters available to the auditory data classification. And we compose the feature parameters pool in the indexing group unit, then compare and analysis the auditory data centering around the including level and indexing criterion into the audio categories. Based on this result, we composed the classification procedure and simulate the auditory data classification.
Keywords
Audio; Auditory data; Indexing searching;
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Times Cited By KSCI : 2  (Citation Analysis)
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