Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41348
Title: Music structure based vector space retrieval
Authors: Maddage, N.C.
Li, H.
Kankanhalli, M.S. 
Keywords: Acoustic event
Beat space segmentation
Harmony event
Music structure
n-gram
Vector space modeling
Issue Date: 2006
Source: Maddage, N.C.,Li, H.,Kankanhalli, M.S. (2006). Music structure based vector space retrieval. Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2006 : 67-74. ScholarBank@NUS Repository.
Abstract: This paper proposes a novel framework for music content indexing and retrieval. The music structure information, i.e., timing, harmony and music region content, is represented by the layers of the music structure pyramid. We begin by extracting this layered structure information. We analyze the rhythm of the music and then segment the signal proportional to the inter-beat intervals. Thus, the timing information is incorporated in the segmentation process, which we call Beat Space Segmentation. To describe Harmony Events, we propose a two-layer hierarchical approach to model the music chords. We also model the progression of instrumental and vocal content as Acoustic Events. After information extraction, we propose a vector space modeling approach which uses these events as the indexing terms. In queryby-example music retrieval, a query is represented by a vector of the statistics of the n-gram events. We then propose two effective retrieval models, a hard-indexing scheme and a soft-indexing scheme. Experiments show that the vector space modeling is effective in representing the layered music information, achieving 82.5% top-5 retrieval accuracy using 15-sec music clips as the queries. The soft-indexing outperforms hard-indexing in general. Copyright 2006 ACM.
Source Title: Proceedings of the Twenty-Ninth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval
URI: http://scholarbank.nus.edu.sg/handle/10635/41348
ISBN: 1595933697
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

64
checked on Dec 9, 2017

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.