Browse > Article

Music Spectrum Analysis and a Content Summary Technique Based on the $\frac{1}{\Large f}$ Characteristic  

Bae, Jin-Soo (세종대학교 정보통신공학과)
Abstract
A digital formatted music can be summarized with a fixed length using spectrum signal processing in this paper. We experimentally tested the hypothesis that the power spectrum of a popular music has $\frac{1}{\Large f}$ shape. Based on this hypothesis, a music is summarized by a system proposed in the paper. The system consists of a pre-processing block obtaining a test spectrum and a decision block calculating similarities. It is noteworthy that a digital formatted music can be summarized automatically using a similar system based on various hypotheses.
Keywords
Discrete signal processing; Music spectrum; $\frac{1}{\Large f}$ spectrum; Contents summary;
Citations & Related Records
연도 인용수 순위
  • Reference
1 R.F. Voss and J. Clarke, '$\frac{1}{f}$ Noise in music and speech.' Nature., Vol. 258, pp. 317-318, 1975   DOI
2 J.M Wozencreaft and I.M. Jacobs, Principles of Communication Engineering, Waveland, 1990
3 F. Reif, Fundamentals of Statistical and Thermal Physics, McGraw-Hill, 1965
4 P.P. Vaidyanathan and B.J. Yoon, 'The role of signal-processing concepts in genomics and proteomics', Journal of the Franklin Institute., Vol. 341, pp. 111-135, 2004   DOI   ScienceOn
5 송익호, 확률과정, 생능출판사, 2002
6 R.F. Voss and J. Clarke, '$\frac{1}{f}$ noise' in music: Music from a/f noise.' Journal of Acoustical Society of America., Vol. 63, No 1, 1978
7 B. Porat, A Course in Digital Signal Processing, Wiley, 1997
8 R.E. Ziemer and W.H. Tranter, Principles of Communications, Wiley, 2002
9 B. Sklar, Digital Communications, Prentice Hall, 2001