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Analysis Of Kmeans Clustering Method Used For Audio Signal Features Extraction
Abstract
The digital audio file is used in many vital applications, especially applications that require the identification of a person through the use of a word or a sentence pronounced by the person. In this research paper, we will deal with the representation of the audio file using audio file histogram, a method based on LBP operator will be intoduced to calculate the histogram, this histogram will be used as an input data set to kmeans clustering method to generate audio file features vector. The extracted audio files features will be examined to insue the abilty of using them in a classification system. Several audio files will be processd, the obtained results will be analyzed to show the expected enhancement provided by using audio file histogram.
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DOI: http://dx.doi.org/10.52155/ijpsat.v30.1.3854
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