Using String Kernels to Identify Famous Performers from Their Playing Style
Identifieur interne : 001C42 ( Main/Exploration ); précédent : 001C41; suivant : 001C43Using String Kernels to Identify Famous Performers from Their Playing Style
Auteurs : Craig Saunders [Royaume-Uni] ; R. Hardoon [Royaume-Uni] ; John Shawe-Taylor [Royaume-Uni] ; Gerhard Widmer [Autriche]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2004.
Abstract
Abstract: In this paper we show a novel application of string kernels: that is to the problem of recognising famous pianists from their style of playing. The characteristics of performers playing the same piece are obtained from changes in beat-level tempo and beat-level loudness, which over the time of the piece form a performance worm. From such worms, general performance alphabets can be derived, and pianists’ performances can then be represented as strings. We show that when using the string kernel on this data, both kernel partial least squares and Support Vector Machines outperform the current best results. Furthermore we suggest a new method of obtaining feature directions from the Kernel Partial Least Squares algorithm and show that this can deliver better performance than methods previously used in the literature when used in conjunction with a Support Vector Machine.
Url:
DOI: 10.1007/978-3-540-30115-8_36
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000726
- to stream Istex, to step Curation: 000578
- to stream Istex, to step Checkpoint: 001550
- to stream Main, to step Merge: 001C73
- to stream Main, to step Curation: 001C42
Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct:series"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Using String Kernels to Identify Famous Performers from Their Playing Style</title><author><name sortKey="Saunders, Craig" sort="Saunders, Craig" uniqKey="Saunders C" first="Craig" last="Saunders">Craig Saunders</name></author><author><name sortKey="Hardoon, R" sort="Hardoon, R" uniqKey="Hardoon R" first="R." last="Hardoon">R. Hardoon</name></author><author><name sortKey="Shawe Taylor, John" sort="Shawe Taylor, John" uniqKey="Shawe Taylor J" first="John" last="Shawe-Taylor">John Shawe-Taylor</name></author><author><name sortKey="Widmer, Gerhard" sort="Widmer, Gerhard" uniqKey="Widmer G" first="Gerhard" last="Widmer">Gerhard Widmer</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:CF805BC42A0D74920A13016673CF52359B3CD073</idno><date when="2004" year="2004">2004</date><idno type="doi">10.1007/978-3-540-30115-8_36</idno><idno type="url">https://api.istex.fr/document/CF805BC42A0D74920A13016673CF52359B3CD073/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000726</idno><idno type="wicri:Area/Istex/Curation">000578</idno><idno type="wicri:Area/Istex/Checkpoint">001550</idno><idno type="wicri:doubleKey">0302-9743:2004:Saunders C:using:string:kernels</idno><idno type="wicri:Area/Main/Merge">001C73</idno><idno type="wicri:Area/Main/Curation">001C42</idno><idno type="wicri:Area/Main/Exploration">001C42</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Using String Kernels to Identify Famous Performers from Their Playing Style</title><author><name sortKey="Saunders, Craig" sort="Saunders, Craig" uniqKey="Saunders C" first="Craig" last="Saunders">Craig Saunders</name><affiliation wicri:level="1"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>School of Electronics & Computer Science, ISIS Research Group, Building 1, Highfield, University of Southampton, SO17 1BJ, Southampton</wicri:regionArea><wicri:noRegion>Southampton</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Royaume-Uni</country></affiliation></author><author><name sortKey="Hardoon, R" sort="Hardoon, R" uniqKey="Hardoon R" first="R." last="Hardoon">R. Hardoon</name><affiliation wicri:level="1"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>School of Electronics & Computer Science, ISIS Research Group, Building 1, Highfield, University of Southampton, SO17 1BJ, Southampton</wicri:regionArea><wicri:noRegion>Southampton</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Royaume-Uni</country></affiliation></author><author><name sortKey="Shawe Taylor, John" sort="Shawe Taylor, John" uniqKey="Shawe Taylor J" first="John" last="Shawe-Taylor">John Shawe-Taylor</name><affiliation wicri:level="1"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>School of Electronics & Computer Science, ISIS Research Group, Building 1, Highfield, University of Southampton, SO17 1BJ, Southampton</wicri:regionArea><wicri:noRegion>Southampton</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Royaume-Uni</country></affiliation></author><author><name sortKey="Widmer, Gerhard" sort="Widmer, Gerhard" uniqKey="Widmer G" first="Gerhard" last="Widmer">Gerhard Widmer</name><affiliation wicri:level="3"><country xml:lang="fr">Autriche</country><wicri:regionArea>Department of Medical Cybernetics and Artificial Intelligence, Medical University of Vienna, Freyung 6/2, A-1010, Vienna</wicri:regionArea><placeName><settlement type="city">Vienne (Autriche)</settlement><region nuts="2" type="province">Vienne (Autriche)</region></placeName></affiliation><affiliation wicri:level="3"><country xml:lang="fr">Autriche</country><wicri:regionArea>Austrian Research Institute for Artificial Intelligence, Freyung 6/6/7, A-1010, Vienna</wicri:regionArea><placeName><settlement type="city">Vienne (Autriche)</settlement><region nuts="2" type="province">Vienne (Autriche)</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Autriche</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2004</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno></series><idno type="istex">CF805BC42A0D74920A13016673CF52359B3CD073</idno><idno type="DOI">10.1007/978-3-540-30115-8_36</idno><idno type="ChapterID">Chap36</idno><idno type="ChapterID">36</idno></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: In this paper we show a novel application of string kernels: that is to the problem of recognising famous pianists from their style of playing. The characteristics of performers playing the same piece are obtained from changes in beat-level tempo and beat-level loudness, which over the time of the piece form a performance worm. From such worms, general performance alphabets can be derived, and pianists’ performances can then be represented as strings. We show that when using the string kernel on this data, both kernel partial least squares and Support Vector Machines outperform the current best results. Furthermore we suggest a new method of obtaining feature directions from the Kernel Partial Least Squares algorithm and show that this can deliver better performance than methods previously used in the literature when used in conjunction with a Support Vector Machine.</div></front></TEI><affiliations><list><country><li>Autriche</li><li>Royaume-Uni</li></country><region><li>Vienne (Autriche)</li></region><settlement><li>Vienne (Autriche)</li></settlement></list><tree><country name="Royaume-Uni"><noRegion><name sortKey="Saunders, Craig" sort="Saunders, Craig" uniqKey="Saunders C" first="Craig" last="Saunders">Craig Saunders</name></noRegion><name sortKey="Hardoon, R" sort="Hardoon, R" uniqKey="Hardoon R" first="R." last="Hardoon">R. Hardoon</name><name sortKey="Hardoon, R" sort="Hardoon, R" uniqKey="Hardoon R" first="R." last="Hardoon">R. Hardoon</name><name sortKey="Saunders, Craig" sort="Saunders, Craig" uniqKey="Saunders C" first="Craig" last="Saunders">Craig Saunders</name><name sortKey="Shawe Taylor, John" sort="Shawe Taylor, John" uniqKey="Shawe Taylor J" first="John" last="Shawe-Taylor">John Shawe-Taylor</name><name sortKey="Shawe Taylor, John" sort="Shawe Taylor, John" uniqKey="Shawe Taylor J" first="John" last="Shawe-Taylor">John Shawe-Taylor</name></country><country name="Autriche"><region name="Vienne (Autriche)"><name sortKey="Widmer, Gerhard" sort="Widmer, Gerhard" uniqKey="Widmer G" first="Gerhard" last="Widmer">Gerhard Widmer</name></region><name sortKey="Widmer, Gerhard" sort="Widmer, Gerhard" uniqKey="Widmer G" first="Gerhard" last="Widmer">Gerhard Widmer</name><name sortKey="Widmer, Gerhard" sort="Widmer, Gerhard" uniqKey="Widmer G" first="Gerhard" last="Widmer">Gerhard Widmer</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Musique/explor/MozartV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001C42 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001C42 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Musique
|area= MozartV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= ISTEX:CF805BC42A0D74920A13016673CF52359B3CD073
|texte= Using String Kernels to Identify Famous Performers from Their Playing Style
}}
| This area was generated with Dilib version V0.6.20. |  |