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   <dc:title>Automatic characterization of ornamentation from bassoon recordings for expressive synthesis</dc:title>
   <dc:creator>Puiggròs, Montserrat</dc:creator>
   <dc:creator>Gómez Gutiérrez, Emilia, 1975-</dc:creator>
   <dc:creator>Ramírez, Rafael, 1966-</dc:creator>
   <dc:creator>Serra, Xavier</dc:creator>
   <dc:creator>Bresin, Roberto</dc:creator>
   <dcterms:abstract>Comunicació presentada a: 9th International Conference on Music Perception and Cognition celebrada del 22 al 26 d&amp;apos;agost de 2006 a Bolonya, Itàlia.</dcterms:abstract>
   <dcterms:abstract>Expressive performance characterization is traditionally&#xd;
based on the analysis of the main differences between performances,&#xd;
players, playing styles and emotional intentions.&#xd;
This work addresses the characterization of expressive&#xd;
bassoon ornaments by analyzing audio recordings&#xd;
played by a professional bassoonist. This characterization&#xd;
is then used to generate expressive ornaments from symbolic&#xd;
representations by means of Machine Learning.</dcterms:abstract>
   <dcterms:issued>2019-06-06T08:27:35Z</dcterms:issued>
   <dcterms:issued>2019-06-06T08:27:35Z</dcterms:issued>
   <dcterms:issued>2006</dcterms:issued>
   <dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
   <dc:type>info:eu-repo/semantics/acceptedVersion</dc:type>
   <dc:relation>Baroni M, Addessi AR, Caterina R, Costa M, editors. 9th International Conference on Music Perception and Cognition; 2006 Aug 22-26; Bologna, Italy. Bologna: Bononia University Press; 2006.</dc:relation>
   <dc:rights>© The Authors</dc:rights>
   <dc:rights>https://creativecommons.org/licenses/by/3.0/es/</dc:rights>
   <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
   <dc:publisher>Bononia University Press</dc:publisher>
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