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Multi-Objective Investigation of Six Feature Source Types for Multi-Modal Music Classification
2022
Transactions of the International Society for Music Information Retrieval
Every type of musical data (audio, symbolic, lyrics, etc.) has its limitations, and cannot always capture all relevant properties of a particular musical category. In contrast to more typical MIR setups where supervised classification models are trained on only one or two types of data, we propose a more diversified approach to music classification and analysis based on six modalities: audio signals, semantic tags inferred from the audio, symbolic MIDI representations, album cover images,
doi:10.5334/tismir.67
fatcat:glhczbyvfjgabmergrixspzs3m