<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T06:22:11Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:10230/42772" metadataPrefix="mets">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:10230/42772</identifier><datestamp>2025-12-26T11:27:48Z</datestamp><setSpec>com_2072_6</setSpec><setSpec>col_2072_452952</setSpec></header><metadata><mets xmlns="http://www.loc.gov/METS/" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" ID="&#xa;&#x9;&#x9;&#x9;&#x9;DSpace_ITEM_10230-42772" TYPE="DSpace ITEM" PROFILE="DSpace METS SIP Profile 1.0" xsi:schemaLocation="http://www.loc.gov/METS/ http://www.loc.gov/standards/mets/mets.xsd" OBJID="&#xa;&#x9;&#x9;&#x9;&#x9;hdl:10230/42772">
   <metsHdr CREATEDATE="2026-04-17T08:22:11Z">
      <agent ROLE="CUSTODIAN" TYPE="ORGANIZATION">
         <name>RECERCAT</name>
      </agent>
   </metsHdr>
   <dmdSec ID="DMD_10230_42772">
      <mdWrap MDTYPE="MODS">
         <xmlData xmlns:mods="http://www.loc.gov/mods/v3" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
            <mods:mods xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-1.xsd">
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Falcao, Felipe</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Bozkurt, Baris</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Serra, Xavier</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Andrade, Nazareno</mods:namePart>
               </mods:name>
               <mods:name>
                  <mods:role>
                     <mods:roleTerm type="text">author</mods:roleTerm>
                  </mods:role>
                  <mods:namePart>Baysal, Ozan</mods:namePart>
               </mods:name>
               <mods:originInfo>
                  <mods:dateIssued encoding="iso8601">2019-11-07T10:08:40Z2019-11-07T10:08:40Z2019</mods:dateIssued>
               </mods:originInfo>
               <mods:identifier type="none"/>
               <mods:abstract>Comunicació presentada a: 20th annual conference of the International Society for Music Information Retrieval (ISMIR) celebrat del 4 al 8 de novembre de 2019 a Delft, Països Baixos.This work presents a novel dataset comprised of audio and&#xd;
jury evaluations for rhythmic pattern reproduction performances by students applying for a conservatory. Data was&#xd;
collected in-loco during entrance exams where students&#xd;
were asked to imitate a set of rhythmic patterns played by&#xd;
teachers. In addition to the pass or fail grades provided&#xd;
by the members of the jury during the exam sessions, a&#xd;
subset of the data was also evaluated by external annotators on a 4-level scale. A baseline automatic assessment&#xd;
system is presented to demonstrate the usefulness of the&#xd;
dataset. Preliminary results deliver an accuracy of 76% for&#xd;
a simple pass/fail logistic regression classifier and a mean&#xd;
average error of 0.59 for a linear regression grade estimator. The implementation is also made publicly available to&#xd;
serve as baseline for alternative assessments systems that&#xd;
may leverage the dataset.This work was conducted during a visiting scholar period at Universitat Pompeu Fabra, sponsored by the Capes&#xd;
Foundation within the Ministry of Education, Brazil (grant&#xd;
n. 88881.189929/2018-01). The dataset was collected during a project funded by the Scientific and Technological&#xd;
Research Council of Turkey, TUBITAK, Grant [215K017].</mods:abstract>
               <mods:language>
                  <mods:languageTerm authority="rfc3066"/>
               </mods:language>
               <mods:accessCondition type="useAndReproduction">© Licensed under a Creative Commons Attribution 4.0&#xd;
International License (CC BY 4.0). Attribution: . “A dataset of rhythmic pattern reproductions and baseline automatic assessment system”,&#xd;
20th International Society for Music Information Retrieval Conference,&#xd;
Delft, The Netherlands, 2019. https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess</mods:accessCondition>
               <mods:titleInfo>
                  <mods:title>A Dataset of rhythmic pattern reproductions and baseline automatic assessment system</mods:title>
               </mods:titleInfo>
               <mods:genre>info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion</mods:genre>
            </mods:mods>
         </xmlData>
      </mdWrap>
   </dmdSec>
   <structMap LABEL="DSpace Object" TYPE="LOGICAL">
      <div TYPE="DSpace Object Contents" ADMID="DMD_10230_42772"/>
   </structMap>
</mets></metadata></record></GetRecord></OAI-PMH>