Comparison And Evaluation System For Beat Tracking Algorithms
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This work deals with systems for detecting rhythmic structures of music recordings. Thefield of retrieving information from music (MIR) is developing rapidly and has more accurate resultsthan ever before. It allows us to examine the harmonic and tonal properties of music, rhythm, tempo,etc. Various algorithms are used in the detection of rhythmic structures. However, today, most newmethods use neural networks. The thesis aims to summarize the current research results of systemsfor detecting music times and tempo in MIR, to describe methods of calculating and evaluating theparameters of music recordings, and to implement a program that allows comparison of availabledetection systems. The result of the work is a script in the Python language, which uses five differentsystems to detect the rhythmic structure of test recordings. It then checks the outputs of the algorithmsaccording to the given reference and compares the given systems with each other using severalevaluation quantities.
Document typePeer reviewed
Document versionFinal PDF
SourceProceedings I of the 27st Conference STUDENT EEICT 2021: General papers. s. 287-290. ISBN 978-80-214-5942-7
- Student EEICT 2021