DocumentCode :
1310640
Title :
Note on measures for spectral flatness
Author :
Madhu, Nilesh
Author_Institution :
Dept. Neurosci., K.U. Leuven, Leuven, Belgium
Volume :
45
Issue :
23
fYear :
2009
fDate :
11/1/2009 12:00:00 AM
Firstpage :
1195
Lastpage :
1196
Abstract :
Spectral flatness is a feature of acoustic signals that has been useful in many audio signal processing applications. The traditional definition of spectral flatness is the ratio of the geometric mean to the arithmetic mean of the magnitude spectrum of the signal, as obtained from the DFT. Presented is an analysis of this measure and the shortcomings. To overcome these shortcomings, a robust measure based on the concept of entropy is proposed. Although this entropy-based measure is derived from a completely different standpoint, it is closely related to the traditional measure, the relation of which is also derived here. Given the importance that spectral flatness is gaining in the field of audio signal processing, it is believed that an understanding of this measure and the development of a robust version as proposed is exigent.
Keywords :
audio signal processing; discrete Fourier transforms; entropy; reviews; speech processing; DFT; acoustic signals; arithmetic mean; audio signal processing; discrete Fourier transforms; entropy-based measures; geometric mean; magnitude spectrum; review; spectral flatness measures; speech signal processing;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el.2009.1977
Filename :
5325137
Link To Document :
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