A New Corpus for Computational Music Research and A Novel Method for Musical Structure Analysis
| Autor: | Filippo Carnovalini, Steven T. Homer, Geraint A. Wiggins, Nicholas Harley, Antonio Rodà |
|---|---|
| Rok vydání: | 2022 |
| Předmět: |
Structure (mathematical logic)
Melody FOS: Computer and information sciences Computational model Sound (cs.SD) Computer science business.industry GRASP Musical computer.software_genre Computer Science - Sound Multimedia (cs.MM) Tree (data structure) Audio and Speech Processing (eess.AS) Computational musicology FOS: Electrical engineering electronic engineering information engineering Artificial intelligence business computer Computer Science - Multimedia Natural language processing Electrical Engineering and Systems Science - Audio and Speech Processing Musical form |
| Zdroj: | Audio Mostly Conference |
| DOI: | 10.48550/arxiv.2208.14747 |
| Popis: | Computational models of music, while providing good descriptions of melodic development, still cannot fully grasp the general structure comprised of repetitions, transpositions, and reuse of melodic material. We present a corpus of strongly structured baroque allemandes, and describe a top-down approach to abstract the shared structure of their musical content using tree representations produced from pairwise differences between the Schenkerian-inspired analyses of each piece, thereby providing a rich hierarchical description of the corpus. |
| Databáze: | OpenAIRE |
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