NDLI: A Speech-music Discriminator Using HILN Model Based Features

Content Provider	Indian Institute of Science (IISc)
Author	Thoshkahna, Balaji Sudha, V. Ramakrishnan, K. R.
Copyright Year	2006
Abstract	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.
File Format	PDF
Journal	PeerReviewed
Language	English
Publisher	Institute of Electrical and Electronics Engineers
Publisher Date	2006-01-01
Access Restriction	Authorized
Subject Keyword	Electrical Engineering
Content Type	Text
Resource Type	Article

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