Cart (Loading....) | Create Account
Close category search window
 

Fractal dimension analysis of audio signals for Indian musical instrument recognition

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Gunasekaran, S. ; Design & Dev.-DSP, Tata Elxsi Ltd., Bangalore ; Revathy, K.

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.

Published in:

Audio, Language and Image Processing, 2008. ICALIP 2008. International Conference on

Date of Conference:

7-9 July 2008

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.