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A speech-music discriminator using HILN model based features

Thoshkahna, Balaji and Sudha, V and Ramakrishnan, KR (2006) A speech-music discriminator using HILN model based features. In: 31st IEEE International Conference on Acoustics, Speech and Signal Processing,, May 14-19, 2006, Toulouse, France, pp. 5283-5286.

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We propose a simple speech music discriminator that uses features based on HILN(Harmonics, Individual Lines and Noise) model. We have been able to test the strength of the feature set on a standard database of 66 files and get an accuracy of around 97%. We also have tested on sung queries and polyphonic music and have got very good results. The current algorithm is being used to discriminate between sung queries and played (using an instrument like flute) queries for a Query by Humming(QBH) system currently under development in the lab.

Item Type: Conference Paper
Series.: International Conference on Acoustics Speech and Signal Processing (ICASSP)
Publisher: IEEE
Additional Information: Copyright 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre: Division of Electrical Sciences > Electrical Engineering
Date Deposited: 27 Aug 2010 04:53
Last Modified: 19 Sep 2010 06:12
URI: http://eprints.iisc.ac.in/id/eprint/30478

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