Honors Program Theses
Award/Availability
Open Access Honors Program Thesis
First Advisor
Kevin O'Kane
Abstract
Content retrieval in musical collections has been dependent on textual metadata (e.g. ID3 tags) which can present problems when the title of a piece is forgotten, misspelled, or when the search revolves around the similarity of sound. Content-based MIR (musical information retrieval) could offer an alternative. BLAST (basic local alignment search tool), an algorithm widely used in bioinformatics to search for sequences of aminoacids within longer sequences, seeks similarities and homologies, which makes it interesting for MIR, because musical information can be expected to be imprecise, and because homologies can allow to draw connections between musical pieces. Increased availability of digital music necessitates MIR methods which would allow to search a polyphonic sound collection with polyphonic queries to retrieve individual files, and a question can be raised how viable is BLAST-based retrieval for this kind of data. This paper discusses an implementation of such a system.
Year of Submission
2008
Department
Department of Computer Science
University Honors Designation
A thesis submitted in partial fulfillment of the requirements for the designation University Honors
Date Original
5-2008
Object Description
1 PDF file (21 pages)
Copyright
©2008 Fedor Aleksandrovich Korsakov
Recommended Citation
Korsakov, Fedor Aleksandrovich, "Application of Blast-Based Techniques For Musical Information Retrieval" (2008). Honors Program Theses. 800.
https://scholarworks.uni.edu/hpt/800
Comments
If you are the rightful copyright holder of this thesis and wish to have it removed from the Open Access Collection, please submit a request to scholarworks@uni.edu and include clear identification of the work, preferably with URL.