A Data Model for Music Information Retrieval
Identifieur interne : 001870 ( Main/Exploration ); précédent : 001869; suivant : 001871A Data Model for Music Information Retrieval
Auteurs : Tamar Berman [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Descripteurs français
- Pascal (Inist)
- ., Acoustique audio, Acoustique musicale, Analyse donnée, Comportement utilisateur, Découverte connaissance, Extraction forme, Extraction information, Fouille donnée, Harmonique, Interrogation base donnée, Intervalle temps, Modèle donnée, Modélisation, Musique, Recherche information, SQL, Système information, Série temporelle, Temps occupation, Tonie.
- Wicri :
- topic : Musique.
English descriptors
- KwdEn :
- Audio acoustics, Data analysis, Data mining, Data models, Database query, Harmonic, Information extraction, Information retrieval, Information system, Knowledge discovery, Modeling, Music, Musical acoustics, Occupation time, Pattern extraction, Pitch(acoustics), SQL, Time interval, Time series, User behavior.
Abstract
Abstract: This paper describes a data model for the representation of tonal music. In this model, music is conceived as an equally-spaced time series of 12-dimensional vectors. The model has been successfully applied to the task of discovering frequently recurring patterns, and to the related task of retrieving user-defined musical patterns. This was accomplished by converting midi sequences of music by W.A. Mozart into the time series representation and analyzing these with data mining tools and SQL queries. The novelty of the pattern extraction capability supported by the model is in the potentially complex description of the sequences, which may contain both melodic and harmonic features, may be embedded within each other, or interspersed with other patterns or occurrences. A unique feature of the model is the use of time intervals as the basic representational unit, which fosters possibilities for future application to audio data.
Url:
DOI: 10.1007/11780991_15
Affiliations:
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Le document en format XML
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In this model, music is conceived as an equally-spaced time series of 12-dimensional vectors. The model has been successfully applied to the task of discovering frequently recurring patterns, and to the related task of retrieving user-defined musical patterns. This was accomplished by converting midi sequences of music by W.A. Mozart into the time series representation and analyzing these with data mining tools and SQL queries. The novelty of the pattern extraction capability supported by the model is in the potentially complex description of the sequences, which may contain both melodic and harmonic features, may be embedded within each other, or interspersed with other patterns or occurrences. A unique feature of the model is the use of time intervals as the basic representational unit, which fosters possibilities for future application to audio data.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Illinois</li></region></list><tree><country name="États-Unis"><region name="Illinois"><name sortKey="Berman, Tamar" sort="Berman, Tamar" uniqKey="Berman T" first="Tamar" last="Berman">Tamar Berman</name></region><name sortKey="Berman, Tamar" sort="Berman, Tamar" uniqKey="Berman T" first="Tamar" last="Berman">Tamar Berman</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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