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HarmTrace: Harmony Analysis and Retrieval of Music

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HarmTrace: Harmony Analysis and Retrieval of Music with Type-level Representations of Abstract Chords Entities

We present HarmTrace, a system for automatically analysing the harmony of music sequences. HarmTrace is described in the paper:

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Versions [faq] 0.1, 0.1.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 1.0, 2.0, 2.1, 2.2.0, 2.2.1
Dependencies array, base (>=4.2 && <4.5), binary (==0.5.*), deepseq, Diff (==0.1.*), directory, filepath, hmatrix (>=0.11.0.3), hmatrix-gsl-stats (>=0.1.2.9), instant-generics (>=0.3.1 && <0.4), ListLike (>=3.0.1), mtl, parallel (>=3), parseargs (>=0.1.3.2), process (>=1.0), regex-tdfa (==1.1.*), template-haskell (>=2.4 && <2.7), uu-parsinglib (>=2.7.1), vector (>=0.7) [details]
License GPL-3.0-only
Copyright (c) 2010--2011 Universiteit Utrecht
Author W. Bas de Haas and Jose Pedro Magalhaes
Maintainer bash@cs.uu.nl, jpm@cs.uu.nl
Category Music
Home page http://www.cs.uu.nl/wiki/GenericProgramming/HarmTrace
Uploaded by JosePedroMagalhaes at Fri Oct 21 08:29:54 UTC 2011
Distributions NixOS:2.2.1
Executables harmtrace
Downloads 7273 total (156 in the last 30 days)
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Readme for HarmTrace-1.0

[back to package description] 
HarmTrace (Harmony Analysis and Retrieval of Music with Type-level 
Representations of Abstract Chords Entities) is a system for automatic harmony 
analysis of music. It takes a sequence of chords as input and produces a harmony 
analysis, which can be visualised as a tree. 

Music theory has been essential in composing and performing music for centuries. 
Within Western tonal music, from the early Baroque on to modern-day jazz and pop 
music, the function of chords within a chord sequence can be explained by 
harmony theory. Although Western tonal harmony theory is a thoroughly studied 
area, formalising this theory is a hard problem. 

With HarmTrace we have developed a formalisation of the rules of tonal harmony 
as a Haskell (generalized) algebraic datatype. Given a sequence of chord labels, 
the harmonic function of a chord in its tonal context is automatically derived. 
For this, we use several advanced functional programming techniques, such as 
type-level computations, datatype-generic programming, and error-correcting 
parsers. Our functional model of harmony offers various benefits: it can be used 
to define harmonic similarity measures and facilitate music retrieval, or it can 
help musicologists in batch-analysing large corpora of digitised scores, for 
instance. 

More information about HarmTrace, including how to use and example output, is
available on its webpage: http://www.cs.uu.nl/wiki/GenericProgramming/HarmTrace