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A Hybrid Approach to Audio-to-Score Alignment

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Document pages: 4 pages

Abstract: Audio-to-score alignment aims at generating an accurate mapping between aperformance audio and the score of a given piece. Standard alignment methodsare based on Dynamic Time Warping (DTW) and employ handcrafted features. Weexplore the usage of neural networks as a preprocessing step for DTW-basedautomatic alignment methods. Experiments on music data from different acousticconditions demonstrate that this method generates robust alignments whilstbeing adaptable at the same time.

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