Sheet Music-Audio Identification

نویسندگان

  • Christian Fremerey
  • Michael Clausen
  • Sebastian Ewert
  • Meinard Müller
چکیده

In this paper, we introduce and discuss the task of sheet music-audio identification. Given a query consisting of a sequence of bars from a sheet music representation, the task is to find corresponding sections within an audio interpretation of the same piece. Two approaches are proposed: a semi-automatic approach using synchronization and a fully automatic approach using matching techniques. A workflow is described that allows for evaluating the matching approach using the results of the more reliable synchronization approach. This workflow makes it possible to handle even complex queries from orchestral scores. Furthermore, we present an evaluation procedure, where we investigate several matching parameters and tempo estimation strategies. Our experiments have been conducted on a dataset comprising pieces of various instrumentations and complexity.

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تاریخ انتشار 2009