Song/instrumental classification using spectrogram based contextual features
Proceedings of the CUBE International Information Technology Conference
An analysis of content-based classification of audio signals using a fuzzy c-means algorithm
Multimedia Tools and Applications
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A bass line is an instrumental melody that encapsulates both rhythmic, melodic, and harmonic features and arguably contains sufficient information for accurate genre classification. In this paper a bass line based automatic music genre classification system is described. "Melodic Interval Histograms" are used as features and k-nearest neighbor classifiers are utilized and compared with SVMs on a small size standard MIDI database. Apart from standard distance metrics for k-nearest neighbor (Euclidean, symmetric Kullback-Leibler, earth mover's, normalized compression distances) we propose a novel distance metric, perceptually weighted Euclidean distance (PWED). The maximum classification accuracy (84%) is obtained with k-nearest neighbor classifiers and the added utility of the novel metric is illustrated in our experiments.