AAM: a dataset of Artificial Audio Multitracks for diverse music information retrieval tasks by Fabian Ostermann, Igor Vatolkin, Martin Ebeling

“…In contrast to datasets with commercial music, all audio tracks are freely available, allowing for extraction of own audio features. All music pieces are stored as single instrument audio tracks and a mix track, so that different augmentations and DSP effects can be applied to extend training sets and create individual mixes, e.g., for deep neural networks. …”
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