Abstract
Music is an important component of digital libraries. This paper discusses a digital music library from the information retrieval viewpoint and proposes a method for extracting theme phrases. These are then used to present a shorter version of retrieved music to users. The method consists of two steps, phrase extraction and syntactical classification of segmented fragments of melodies. Phrase extraction is carried out based on a few heuristic rules. We conducted an experiment on the accuracy of phrase extraction using 94 Japanese popular songs and obtained 0.766 recall and 0.786 precision. The syntactical classification is based on a probabilistic syntactical pattern analysis combining classification and syntactical analysis. The proposed method uses a decision tree and a finite state automaton and obtained 0.884 accuracy in theme phrase extraction.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
I. V. Bakhmutova, V. D. Gusev, and T. N. Titkova.: The Search for Adaptations in Song Melodies. Computer Music Journal, 21(1):58–67, 1997.
L. E. Baum.: An Inequality and Associated Maximization Technique in Statistical Estimation for Probabilistic Functions of a markov Process. Inequalities, 3:1–8, 1972.
V. Gaede and O. Günter.: Multidimensional Access Methods. Technical report, Humboldt-Universität zu Berlin, 1996.
A. Ghias, J. Logan, D. Chamberlin, and B. C. Smith.: Query By Humming–Musical Information Retrieval in an Audio Database. In Proc. of ACM Multimedia–95, 1995.
M. Goto and Y. Muraoka.: An Audio-based Real-time Beat Tracking System and Its Applications. In Proc. of International Computer Music Conference, pages 17–20, 1998.
M. Goto and Y. Muraoka.: A WWW-based Music Retreival System. http://www.info.waseda.ac.jp/muraoka/members/sonoda/m-search.html.
J. W. Hunt and T. G. Szymanski.: A Fast Algorithm for Computing Longest Common Subsequences. Communications of ACM, 20(5):350–353, 1977.
F. Lerdahl and R Jackendoff: A Generative Theory of Tonal Music. The MIT Press, 1983.
S. Y. Lu and K. S. Fu.: Stochastic Error-Correcting Syntax Analysis for Recognition of Noi sy Patterns. IEEE Transactions on Computers, C-26(12):1268–1276, 1977.
M. Masui and T. Kakimoto.: Sensitivity-based Audio Positioning for 3D Browsing Navigator(in Japanese). IPSJ SIG Notes, 26(17):115–122, 1998.
D. Michie, D. J. Spiegelhalter, and C.C. Taylor.: Machine Learning, Neural And Statistical Classification. Ellis Horwood, 1994.
E. Narmout.: The Analysis and Congnition of Basic Melodic Structure. University of Chicago Press, 1990.
J. Ross Quinlan. C4.5: Programs for Machine Learning. Morgan Kaufmann, 1993.
Curtise Roads.: The Computer Music Tutorial. The MIT Press, 1996.
Robert Rowe.: Interactive music systems: machine listening and composing. The MIT Press, 1993.
M. Smith and T. Kanade.: Video Skimming and Characterization through the Combination of Image and Language Understanding. Technical report, CMU School of Computer Science, 1996.
Y. Tsuji, M. Hoshi, and T. Ohmori.: Local Patterns of a Melody and Its Applications to Retrieval by Sensitive Words (in Japanese). Technical Report of IEICE, SP96(124):17–24, 1997.
T. Yanase, A. Takasu, and J. Adachi.: Phrase Based Feature Extraction for Musical Information Retrieval. to appear in IEEE Pacific Rim Conference on Communications, Computers and Signal Processing (PACRIM’99), 1999.
Takashi Yanase.: A Melody Retrieval System by Feature Extraction from Musical Performance Information (in Japanese). Master thesis, Graduate Scool of Engineering, University of Tokyo, 1999.
T. Yoshino, H. Takagi, Y. Kiyoki, and T. kitagawa.: An Automatic Metadata Creation Method for Music Data and its Application to Semantic Associative Search (in Japanese). IPSJ SIG Notes, 98(58):109–116, 1998.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Takasu, A., Yanase, T., Kanazawa, T., Adachi, J. (1999). Music Structure Analysis and Its Application to Theme Phrase Extraction. In: Abiteboul, S., Vercoustre, AM. (eds) Research and Advanced Technology for Digital Libraries. ECDL 1999. Lecture Notes in Computer Science, vol 1696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48155-9_8
Download citation
DOI: https://doi.org/10.1007/3-540-48155-9_8
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-66558-8
Online ISBN: 978-3-540-48155-3
eBook Packages: Springer Book Archive