Abstract/Details

A method for discovering musical patterns through time series analysis of symbolic data


2006 2006

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Abstract (summary)

This paper proposes a method for discovering musical patterns through the conversion of MIDI files into time series and analyzing these with the Information Technology tools of data mining and SQL queries. The method was tested on patterns prevalent in the music of W. A. Mozart, as represented in a corpus of 505 MIDI sequences of pieces by Mozart.

The novelty of the pattern extraction method described here lies in its ability to discover and retrieve sequences that are composed of complex events. These contain both melodic and harmonic features, which may be overlaid upon each other, embedded within each other, and may be separated by, or occur simultaneously with, other patterns or occurrences.

Results support the feasibility of constructing an information system for the discovery and retrieval of complex musical patterns based on time series analysis. This system, intended for use by music researchers, scholars and students, discovered frequently recurring patterns, and provided examples of musical passages which contain a particular pattern selected for investigation.

This work demonstrates how data mining can be applied to musical time series to discover frequent musical sequences. Further, it shows how examples of a particular complex pattern---the 1-7...4-3 pattern---can be fetched from the corpus based on the same time series representation.

Indexing (details)


Subject
Music;
Information systems
Classification
0413: Music
0723: Information systems
Identifier / keyword
Communication and the arts; Austria; Harmony; Mozart, Wolfgang Amadeus; Musical patterns; Sequence; Symbolic data; Time series; Wolfgang Amadeus Mozart
Title
A method for discovering musical patterns through time series analysis of symbolic data
Author
Adler-Berman, Tamar C.
Number of pages
118
Publication year
2006
Degree date
2006
School code
0163
Source
DAI-A 67/03, Dissertation Abstracts International
Place of publication
Ann Arbor
Country of publication
United States
ISBN
9780542620959, 0542620952
Advisor
Ashley, Richard D.
University/institution
Northwestern University
University location
United States -- Illinois
Degree
Ph.D.
Source type
Dissertations & Theses
Language
English
Document type
Dissertation/Thesis
Dissertation/thesis number
3212773
ProQuest document ID
305299762
Copyright
Database copyright ProQuest LLC; ProQuest does not claim copyright in the individual underlying works.
Document URL
http://search.proquest.com/docview/305299762
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