Abstract
Musical relations and dependencies between events within a musical passage may be better explained as a graph rather than in a sequential framework. This article develops a multiscale structure model for music segments, called Polytopic Graph of Latent Relations (PGLR) as a way to describe nested systems of latent dependencies within the musical flow. The approach is presented conceptually and algorithmically, together with an extensive evaluation on a large set of chord sequences from a corpus of pop songs. Our results illustrate the efficiency of the proposed model in capturing structural information within such data.
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Notes
- 1.
This confirms preliminary results formerly obtained on a much smaller corpus of 45 chord sequences [10].
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Louboutin, C., Bimbot, F. (2017). Polytopic Graph of Latent Relations. In: Agustín-Aquino, O., Lluis-Puebla, E., Montiel, M. (eds) Mathematics and Computation in Music. MCM 2017. Lecture Notes in Computer Science(), vol 10527. Springer, Cham. https://doi.org/10.1007/978-3-319-71827-9_18
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DOI: https://doi.org/10.1007/978-3-319-71827-9_18
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