Our experiments based on Beethoven piano sonatas show that JumpDTW can robustly identify and handle most of the occurring jumps and repeats leading to an overall alignment accuracy of over 99% on the bar-level. to the problem of linking regions (given as pixel coordi- nates) within the scanned images of given sheet music to semantically corresponding physical time. Our approach is evaluated for the practically relevant case of synchronizing score data obtained from scanned sheet music via optical music recognition to corresponding audio recordings. As main technical contribution, we describe a novel variant of dynamic time warping (DTW), referred to as JumpDTW, which allows for handling jumps and repeats in the alignment. We study this problem in two different scenarios: camera-based sheet music identification and MIDI-sheet image retrieval. In this paper, we introduce a synchronization approach that can cope with such structural differences. For example, a performer may deviate from the score by ignoring a repeat or introducing an additional repeat that is not written in the score. Mindray shall not be liable for loss of data stored in the memory of this system caused by operator error or accidents. In practice, however, this assumption is often violated. Most of the previous approaches assume that the score and the performance to be synchronized globally agree with regard to the overall musical structure. Given a score representation and a recorded performance of the same piece of music, the task of score-performance synchronization is to temporally align musical sections such as bars specified by the score to temporal sections in the performance.
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