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Erschienen in:

2015 | OriginalPaper | Buchkapitel

Query by Humming System Through Multiscale Music Entropy

verfasst von : Trisiladevi C. Nagavi, Nagappa U. Bhajantri

Erschienen in: Intelligent Computing, Communication and Devices

Verlag: Springer India

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Abstract

Query by humming (QBH) is one of the most active areas of research under music information retrieval (MIR) domain. QBH employs meticulous approaches for matching hummed query to music excerpts existing within the music database. This paper proposes QBH system based on the estimation of multiscale music entropy (MME). The proposed technique exploits the statistical reliability through the MME for music signals approximation. Further, the Kd tree is employed for indexing MME feature vectors of music database leading to reduced search space and retrieval time. Later, MME feature vectors are extracted from humming query for recognition and retrieval of the corresponding song from music database. The experimental results demonstrate that the proposed MME and Kd tree-based QBH system provides higher discrimination capability than the existing contemporary techniques.

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Titel: Query by Humming System Through Multiscale Music Entropy
verfasst von: Trisiladevi C. Nagavi
Nagappa U. Bhajantri
Verlag: Springer India
Buch: Intelligent Computing, Communication and Devices
Print ISBN: 978-81-322-2008-4

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

Copyright-Jahr: 2015
DOI: https://doi.org/10.1007/978-81-322-2009-1_17

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