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Improving tempo-sensitive and tempo-robust descriptors for rhythmic similarity
Austrian Research Institute for Artificial Intelligence (OFAI).ORCID iD: 0000-0003-1679-6018
2011 (English)In: Proceedings of the Conference on Sound and Music Computing (SMC), Sound and music Computing network , 2011Conference paper, Published paper (Refereed)
Abstract [en]

For the description of rhythmic content of music signals usually features are preferred that are invariant in presence of tempo changes. In this paper it is shown that the importance oftempo depends on the musical context. For popular music, a tempo-sensitive feature is improved on multiple datasets using analysis of variance, and it is shown that also a tempo-robust description profits from the integration into the resulting processing framework. Important insights are given into optimal parameters for rhythm description, and limitations of current approaches are indicated.

Place, publisher, year, edition, pages
Sound and music Computing network , 2011.
Keyword [en]
Rhythmic similarity, Music Information Retrieval
National Category
Media Engineering
Research subject
Computer Science; Media Technology; Speech and Music Communication
URN: urn:nbn:se:kth:diva-193755Scopus ID: 2-s2.0-84905171409OAI: diva2:1040413
Conference on Sound and Music Computing (SMC)

QC 20161031

Available from: 2016-10-27 Created: 2016-10-10 Last updated: 2016-11-11Bibliographically approved

Open Access in DiVA

fulltext(620 kB)