Effectiveness of Note Duration Information for Music Retrieval
Author(s) -
Iman S. H. Suyoto,
Alexandra L. Uitdenbogerd
Publication year - 2005
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-25334-3
DOI - 10.1007/11408079_25
Subject(s) - duration (music) , melody , similarity (geometry) , string (physics) , computer science , music information retrieval , matching (statistics) , feature (linguistics) , speech recognition , artificial intelligence , feature matching , pattern recognition (psychology) , information retrieval , natural language processing , mathematics , feature extraction , image (mathematics) , linguistics , statistics , musical , acoustics , art , philosophy , mathematical physics , physics , visual arts
Content-based music information retrieval uses features extracted from music to answer queries. For melodic queries, the two main features are the pitch and duration of notes. The note pitch feature has been well researched whereas duration has not been fully explored. In this paper, we discuss how the note duration feature can be used to alter music retrieval effectiveness. Notes are represented by strings called standardisations. A standardisation is designed for approximate string matching and may not capture melodic information precisely. To represent pitches, we use a string of pitch differences. Our duration standardisation uses a string of five symbols representing the relative durations of adjacent notes. For both features, the Smith-Waterman alignment is used for matching. We demonstrate combining the similarity in both features using a vector model. Results of our experiments in retrieval effectiveness show that note duration similarity by itself is not useful for effective music retrieval. Combining pitch and duration similarity using the vector model does not improve retrieval effectiveness over the use of pitch on its own.
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