NDLI: Fractal dimension analysis of audio signals for Indian musical instrument recognition

Content Provider	IEEE Xplore Digital Library
Author	Gunasekaran, S. Revathy, K.
Copyright Year	2008
Description	Author affiliation: Design & Dev.-DSP, Tata Elxsi Ltd., Bangalore (Gunasekaran, S.)
Abstract	The application of fractal geometry to musical signals and instrumental recognition system is not been widely experimented. The fractal dimension D is a very important characteristic of fractals useful for segmentation. This paper introduces an instrument identification system, which uses fractal dimension for segmentation of audio signals. This research is organized in three parts. The first part of this research investigates fractal dimension based segmentation of musical sounds for feature extraction and recognition. The second part explores extraction of the feature set from the segmented musical signal. The feature set of the proposed system includes spectral, perceptual and temporal features of the musical signal. Third part of this research describes about the neural network classifiers. The system has been experimented with kNN classifier and multi-layer perceptron classifier and the performance of these were compared. The proposed system has been trained and tested with 10 different Indian musical instruments sound samples. The sample set contains solo and duet recordings. The system has shown overall recognition rate of 89.7% for solo and 82.8 % for duet.
Starting Page	257
Ending Page	261
File Size	158171
Page Count	5
File Format	PDF
ISBN	9781424417230
DOI	10.1109/ICALIP.2008.4590238
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Instruments Neurons Noise Music Feature extraction Fractals Classification algorithms
Content Type	Text
Resource Type	Article

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