| Autor: |
Tomás Pérez-García, Carlos Pérez-Sancho, José M. Iñesta |
| Rok vydání: |
2010 |
| Předmět: |
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| Zdroj: |
Proceedings of 3rd international workshop on Machine learning and music. |
| DOI: |
10.1145/1878003.1878020 |
| Popis: |
This paper presents a musical genre classification system based on the combination of two kinds of information of very different nature: the instrumentation information contained in a MIDI file (metadata) and the chords that provide the harmonic structure of the musical score stored in that file (content). The fusion of these two information sources gives a single feature vector that represents the file and to which classification techniques usually utilized for text categorization tasks are applied. The classification task is performed under a probabilistic approach that has improved the results previously obtained for the same data using the instrumental or the chord information independently. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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