HarmTrace: Improving Harmonic Similarity Estimation Using Functional Harmony Analysis
نویسندگان
چکیده
Harmony theory has been essential in composing, analysing, and performing music for centuries. Since Western tonal harmony exhibits a considerable amount of structure and regularity, it lends itself to formalisation. In this paper we present HARMTRACE, a system that, given a sequence of symbolic chord labels, automatically derives the harmonic function of a chord in its tonal context. Among other applications, these functional annotations can be used to improve the estimation of harmonic similarity in a local alignment of two annotated chord sequences. We evaluate HARMTRACE and three other harmonic similarity measures on a corpus of 5,028 chord sequences that contains harmonically related pieces. The results show that HARMTRACE outperforms all three other similarity measures, and that information about the harmonic function of a chord improves the estimation of harmonic similarity between two chord sequences.
منابع مشابه
Automatic Functional Harmonic Analysis
Music scholars have been studying tonal harmony intensively for centuries, yielding numerous theories and models. Unfortunately, a large number of these theories are formulated in a rather informal fashion and lack mathematical precision. In this article we present HarmTrace, a functional model of Western tonal harmony that builds on well-known theories of tonal harmony. In contrast to other ap...
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Music scholars have been intensively studying tonal harmony for centuries, yielding numerous theories and models. Unfortunately, a large number of these theories are formulated in a rather informal fashion and lack mathematical precision. In this article we present HarmTrace, a functional model of Western tonal harmony, which builds on well-known theories of tonal harmony. In contrast to many o...
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