Beyond error tolerance : Finding thematic similarities in music digital libraries
Identifieur interne :
000124 ( PascalFrancis/Corpus );
précédent :
000123;
suivant :
000125
Beyond error tolerance : Finding thematic similarities in music digital libraries
Auteurs : Tamar Berman ;
J. Stephen Downie ;
Bart BermanSource :
-
Lecture notes in computer science [ 0302-9743 ] ; 2006.
RBID : Pascal:07-0530790
Descripteurs français
English descriptors
Abstract
Current Music Information Retrieval (MIR) systems focus on melody based retrieval with some tolerance for user errors in the melody specification. The system described here presents a novel method for theme retrieval: A theme is described as a list of musical events, containing melody and harmony features, which must be presented in a given order and within a given time frame. The system retrieves musical phrases that fit the description. A system of this type could serve musicians and listeners who wish to discover thematically similar phrases in music digital libraries. The prototype and underlying model have been tested on midi sequences of music by W.A. Mozart and have shown good performance results.
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
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| A11 | 01 | 1 | | @1 BERMAN (Tamar) |
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| A11 | 02 | 1 | | @1 DOWNIE (J. Stephen) |
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Format Inist (serveur)
| NO : | PASCAL 07-0530790 INIST |
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| ET : | Beyond error tolerance : Finding thematic similarities in music digital libraries |
|---|
| AU : | BERMAN (Tamar); DOWNIE (J. Stephen); BERMAN (Bart) |
|---|
| AF : | Graduate School of Library and Information Science University of Illinois at Urbana-Champaign/Champaign, IL 61820/Etats-Unis (1 aut., 2 aut.) |
|---|
| DT : | Publication en série; Congrès; Niveau analytique |
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| SO : | Lecture notes in computer science; ISSN 0302-9743; Allemagne; Da. 2006; Vol. 4172; Pp. 463-466; Bibl. 6 ref. |
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| LA : | Anglais |
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| EA : | Current Music Information Retrieval (MIR) systems focus on melody based retrieval with some tolerance for user errors in the melody specification. The system described here presents a novel method for theme retrieval: A theme is described as a list of musical events, containing melody and harmony features, which must be presented in a given order and within a given time frame. The system retrieves musical phrases that fit the description. A system of this type could serve musicians and listeners who wish to discover thematically similar phrases in music digital libraries. The prototype and underlying model have been tested on midi sequences of music by W.A. Mozart and have shown good performance results. |
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| SD : | Biblioteca electronica; Similitud; Búsqueda información; Sistema información; Acústica musical; Melodía; Música; Modelización |
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Links to Exploration step
Pascal:07-0530790
Le document en format XML
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<ET>Beyond error tolerance : Finding thematic similarities in music digital libraries</ET>
<AU>BERMAN (Tamar); DOWNIE (J. Stephen); BERMAN (Bart)</AU>
<AF>Graduate School of Library and Information Science University of Illinois at Urbana-Champaign/Champaign, IL 61820/Etats-Unis (1 aut., 2 aut.)</AF>
<DT>Publication en série; Congrès; Niveau analytique</DT>
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<EA>Current Music Information Retrieval (MIR) systems focus on melody based retrieval with some tolerance for user errors in the melody specification. The system described here presents a novel method for theme retrieval: A theme is described as a list of musical events, containing melody and harmony features, which must be presented in a given order and within a given time frame. The system retrieves musical phrases that fit the description. A system of this type could serve musicians and listeners who wish to discover thematically similar phrases in music digital libraries. The prototype and underlying model have been tested on midi sequences of music by W.A. Mozart and have shown good performance results.</EA>
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