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A Survey of Security Concerns in Various Data Aggregation Techniques in Wireless Sensor Networks Read chapter Read first chapter

2015 | OriginalPaper | Chapter

Relating Perceptual Feature Space and Context Drift Information in Query by Humming System

Authors : Trisiladevi C. Nagavi, Nagappa U. Bhajantri

Published in: Intelligent Computing, Communication and Devices

Publisher: Springer India

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Abstract

The advancement in the field of music signal processing insists on effective music information retrieval (MIR) techniques. Query by humming (QBH) system is one of the active research areas under MIR. In this paper, we propose a QBH system for automatically retrieving the desired song based on humming query and human perceptual features. In the proposed system, five perceptual features corresponding to four perceptual properties are extracted. Further, the temporal relationship of these features is estimated through the transfer entropy (TE). The trajectory of TE of the target music database is analyzed to find the match for humming query. Series of experiments are conducted to evaluate the effectiveness of the system with 1,200 songs target database and 200 humming queries. The results show that the proposed method is robust in finding desired song automatically with hummed query as input.

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Metadata
Title
Relating Perceptual Feature Space and Context Drift Information in Query by Humming System
Authors
Trisiladevi C. Nagavi
Nagappa U. Bhajantri
Copyright Year
2015
Publisher
Springer India
Book
Intelligent Computing, Communication and Devices

Print ISBN: 978-81-322-2008-4

Electronic ISBN: 978-81-322-2009-1

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-81-322-2009-1_19

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