Abstract
Musical rhythms are represented as sequences of symbols. The sequences may be composed of binary symbols denoting either silent or monophonic sounded pulses, or ternary symbols denoting silent pulses and two types of sounded pulses made up of low-pitched (dum) and high-pitched (tak) sounds. Experiments are described that compare the effectiveness of the many-to-many minimum-weight matching between two sequences to serve as a measure of similarity that correlates well with human judgements of rhythm similarity. This measure is also compared to the often used edit distance and to the one-to-one minimum-weight matching. New results are reported from experiments performed with three widely different datasets of real- world and artificially generated musical rhythms (including Afro-Cuban rhythms), and compared with results previously reported with a dataset of Middle Eastern dum-tak rhythms.
Highlights
Measuring the similarity between musical rhythms is a problem of paramount relevance in the areas of music information retrieval [1], musicology [2], phylogenetic analysis [3] [10], and music perception [4]
New results are reported from experiments performed with three widely different datasets of realworld and artificially generated musical rhythms, and compared with results previously reported with a dataset of Middle Eastern dum-tak rhythms
In this report experiments are described that compare the effectiveness of the many-to-many minimum-weight matching between two sequences to serve as a measure of similarity that correlates well with human judgements of rhythm similarity across widely different real-world and artificially generated datasets of rhythms, including Afro-Cuban and Middle Eastern rhythms
Summary
Measuring the similarity between musical rhythms is a problem of paramount relevance in the areas of music information retrieval [1], musicology [2], phylogenetic analysis [3] [10], and music perception [4]. Musical rhythms are represented symbolically as 2-symbol sequences, in which each symbol denotes monophonic sounds (onsets) or silences (rests) of unit time duration. In this report experiments are described that compare the effectiveness of the many-to-many minimum-weight matching between two sequences to serve as a measure of similarity that correlates well with human judgements of rhythm similarity across widely different real-world and artificially generated datasets of rhythms, including Afro-Cuban and Middle Eastern rhythms. The present study extends previous work carried out with only one dataset consisting of Middle Eastern dum-tak rhythms [8], with the goal of testing the generalizability of those results to other widely different datasets
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
