Paper Info
Title
An entropy based method for local time-adaptation of the spectrogram
Abstract
We propose a method for automatic local time-adaptation of the spectrogram of audio signals: it is based on the decomposition of a signal within a Gabor multi-frame through the STFT operator. The sparsity of the analysis in every individual frame of the multi-frame is evaluated through the Rényi entropy measures: the best local resolution is determined minimizing the entropy values. The overall spectrogram of the signal we obtain thus provides local optimal resolution adaptively evolving over time. We give examples of the performance of our algorithm with an instrumental sound and a synthetic one, showing the improvement in spectrogram displaying obtained with an automatic adaptation of the resolution. The analysis operator is invertible, thus leading to a perfect reconstruction of the original signal through the analysis coefficients.
Year
DOI
Venue
2010
10.1007/978-3-642-23126-1_5
CMMR'10 Proceedings of the 7th international conference on Exploring music contents
Keywords
DocType
Volume
local resolution,gabor multi-frame,original signal,overall spectrogram,analysis operator,local optimal resolution adaptively,stft operator,automatic local time-adaptation,audio signal,analysis coefficient,renyi entropy,local time,frame theory
Conference
abs/1109.6314
ISSN
Citations 
PageRank 
CMMR 2010, LNCS 6684, pp. 60-75, 2011
0
0.34
References 
Authors
8
4
Name
Order
Citations
PageRank
Marco Liuni1102.67
Axel Röbel217517.54
Marco Romito361.73
Xavier Rodet4627107.87