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Genre Classification Based On Predominant Melodic Pitch Contours
2018
Zenodo
We present an automatic genre classification system based on melodic features. First a ground truth genre dataset composed of polyphonic music excerpts is compiled. Predominant melodic pitch contours are then estimated, from which a series of descriptors is extracted. These features are related to melody pitch, variation and expressiveness (e.g. vibrato characteristics, pitch distributions, contour shape classes). We compare different standard classification algorithms to automatically classify
doi:10.5281/zenodo.1162804
fatcat:f2f4zhifezadfgvqbaeqxkq2ju