Improving Beat Tracking in the presence of highly predominant vocals using source separation techniques: Preliminary study
نویسندگان
چکیده
The automatic beat tracking from audio is still an open research task in the Music Information Retrieval (MIR) community. The goal of this paper is to show and discuss a work-in-progress of how audio source separation can be used for improving beat tracking estimations in difficult cases of music audio signal with highly predominant vocals. The audio source separation using FASST (Flexible Audio Source Separation Toolbox) had an average improvement of beat tracking of {14,15%, 17,74%} in the F-measure and {14,21%, 25,70%} in the Amlt of Klapuri and Degara systems respectably in a dataset of 20 songs excerpt.
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