An analysis of content-based classification of audio signals using a fuzzy c-means algorithm
Multimedia Tools and Applications
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This paper reports a new quick audio search algorithm for the contents based audio retrieval. In the previous work, the time-series audio search method with the upper bound proof was employed. However, the searching speed of a time-series search method is very poor. Therefore, we introduce the preprocessing stage to overcome this defect. In addition to the search speed, the search accuracy is improved by using multiple feature vectors of audio signal. Through the experiment, the results of retrieval performance will be presented.