Proceedings of the Japan Joint Automatic Control Conference
Proceedings of the 51th Japan Joint Automatic Control Conference
Session ID : 215
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Application of Wavelet Analysis and Information Visualization (I)
1/f fluctuation frequency extraction from sound data
*Keiko SugaiYoshifuru Saito
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Abstract

In addition to the highest functionalperformance, a series of various modern machines should be equipped the more sophisticated human interface in order to use, handle or drive them. In such mening, modern fuman engineering has to provide the easiness of machine handling in addition to take the user mental impression into account. Sound is one of the most impressive emotional signals to the human sensing ability so that the sound accompanying of the machine operation is of paramount importance in machine designing. This paper describes with the extraction of 1/f fluctuation frequency from music sound data.By menas of Fourier transform in cooperated with least squares, 1/f fluctuation frequenct components are extracted. As a result, it is revealed that 1/f fluctuation components in music sound are syatematicall compoed in frequency domain.

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