Towards an Intelligent Score Following System: Handling of Mistakes and Jumps Encountered During Piano Practicing
Identifieur interne : 000183 ( UK/Analysis ); précédent : 000182; suivant : 000184Towards an Intelligent Score Following System: Handling of Mistakes and Jumps Encountered During Piano Practicing
Auteurs : Evren Tekin [Royaume-Uni] ; Christina Anagnostopoulou [Royaume-Uni] ; Yo Tomita [Royaume-Uni]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2005.
Abstract
Abstract: Score following has been an important area of research in AI and music since the mid 80’s. Various systems were developed, but they were predominantly for providing automated accompaniment to live concert performances, dealing mostly with issues relating to pitch detection and identification of embellished melodies. They have a big potential in the area of education where student performers benefit in practice situations. Current accompaniment systems are not designed to deal with errors that may occur during practising. In this paper we present a system developed to provide accompaniment for students practising at home. First a survey of score following will be given. Then the capabilities of the system will be explained, and the results from the first experiments of the monophonic score following system will be presented.
Url:
DOI: 10.1007/978-3-540-31807-1_16
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000F52
- to stream Istex, to step Curation: 000C84
- to stream Istex, to step Checkpoint: 001285
- to stream Main, to step Merge: 001982
- to stream Main, to step Curation: 001954
- to stream Main, to step Exploration: 001954
- to stream UK, to step Extraction: 000183
Links to Exploration step
ISTEX:AE3D1CA2DCF283188DC105D5AE56F2A9E20EA5F9Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Towards an Intelligent Score Following System: Handling of Mistakes and Jumps Encountered During Piano Practicing</title><author><name sortKey="Tekin, Evren" sort="Tekin, Evren" uniqKey="Tekin E" first="Evren" last="Tekin">Evren Tekin</name></author><author><name sortKey="Anagnostopoulou, Christina" sort="Anagnostopoulou, Christina" uniqKey="Anagnostopoulou C" first="Christina" last="Anagnostopoulou">Christina Anagnostopoulou</name></author><author><name sortKey="Tomita, Yo" sort="Tomita, Yo" uniqKey="Tomita Y" first="Yo" last="Tomita">Yo Tomita</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:AE3D1CA2DCF283188DC105D5AE56F2A9E20EA5F9</idno><date when="2005" year="2005">2005</date><idno type="doi">10.1007/978-3-540-31807-1_16</idno><idno type="url">https://api.istex.fr/document/AE3D1CA2DCF283188DC105D5AE56F2A9E20EA5F9/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000F52</idno><idno type="wicri:Area/Istex/Curation">000C84</idno><idno type="wicri:Area/Istex/Checkpoint">001285</idno><idno type="wicri:doubleKey">0302-9743:2005:Tekin E:towards:an:intelligent</idno><idno type="wicri:Area/Main/Merge">001982</idno><idno type="wicri:Area/Main/Curation">001954</idno><idno type="wicri:Area/Main/Exploration">001954</idno><idno type="wicri:Area/UK/Extraction">000183</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Towards an Intelligent Score Following System: Handling of Mistakes and Jumps Encountered During Piano Practicing</title><author><name sortKey="Tekin, Evren" sort="Tekin, Evren" uniqKey="Tekin E" first="Evren" last="Tekin">Evren Tekin</name><affiliation wicri:level="1"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Sonic Arts Research Centre, Queen’s University of Belfast, BT7 1NN, Belfast</wicri:regionArea><wicri:noRegion>Belfast</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Royaume-Uni</country></affiliation></author><author><name sortKey="Anagnostopoulou, Christina" sort="Anagnostopoulou, Christina" uniqKey="Anagnostopoulou C" first="Christina" last="Anagnostopoulou">Christina Anagnostopoulou</name><affiliation wicri:level="1"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Sonic Arts Research Centre, Queen’s University of Belfast, BT7 1NN, Belfast</wicri:regionArea><wicri:noRegion>Belfast</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Royaume-Uni</country></affiliation></author><author><name sortKey="Tomita, Yo" sort="Tomita, Yo" uniqKey="Tomita Y" first="Yo" last="Tomita">Yo Tomita</name><affiliation wicri:level="1"><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Sonic Arts Research Centre, Queen’s University of Belfast, BT7 1NN, Belfast</wicri:regionArea><wicri:noRegion>Belfast</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Royaume-Uni</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2005</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno></series><idno type="istex">AE3D1CA2DCF283188DC105D5AE56F2A9E20EA5F9</idno><idno type="DOI">10.1007/978-3-540-31807-1_16</idno><idno type="ChapterID">Chap16</idno><idno type="ChapterID">16</idno></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Score following has been an important area of research in AI and music since the mid 80’s. Various systems were developed, but they were predominantly for providing automated accompaniment to live concert performances, dealing mostly with issues relating to pitch detection and identification of embellished melodies. They have a big potential in the area of education where student performers benefit in practice situations. Current accompaniment systems are not designed to deal with errors that may occur during practising. In this paper we present a system developed to provide accompaniment for students practising at home. First a survey of score following will be given. Then the capabilities of the system will be explained, and the results from the first experiments of the monophonic score following system will be presented.</div></front></TEI><affiliations><list><country><li>Royaume-Uni</li></country></list><tree><country name="Royaume-Uni"><noRegion><name sortKey="Tekin, Evren" sort="Tekin, Evren" uniqKey="Tekin E" first="Evren" last="Tekin">Evren Tekin</name></noRegion><name sortKey="Anagnostopoulou, Christina" sort="Anagnostopoulou, Christina" uniqKey="Anagnostopoulou C" first="Christina" last="Anagnostopoulou">Christina Anagnostopoulou</name><name sortKey="Anagnostopoulou, Christina" sort="Anagnostopoulou, Christina" uniqKey="Anagnostopoulou C" first="Christina" last="Anagnostopoulou">Christina Anagnostopoulou</name><name sortKey="Tekin, Evren" sort="Tekin, Evren" uniqKey="Tekin E" first="Evren" last="Tekin">Evren Tekin</name><name sortKey="Tomita, Yo" sort="Tomita, Yo" uniqKey="Tomita Y" first="Yo" last="Tomita">Yo Tomita</name><name sortKey="Tomita, Yo" sort="Tomita, Yo" uniqKey="Tomita Y" first="Yo" last="Tomita">Yo Tomita</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Musique/explor/MozartV1/Data/UK/Analysis
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000183 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/UK/Analysis/biblio.hfd -nk 000183 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Musique
|area= MozartV1
|flux= UK
|étape= Analysis
|type= RBID
|clé= ISTEX:AE3D1CA2DCF283188DC105D5AE56F2A9E20EA5F9
|texte= Towards an Intelligent Score Following System: Handling of Mistakes and Jumps Encountered During Piano Practicing
}}
| This area was generated with Dilib version V0.6.20. |  |