<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-04611461v1</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-04T11:49:00+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Model-Based Deep Learning for Music Information Research</title>
            <author role="aut">
              <persName>
                <forename type="first">Gael</forename>
                <surname>Richard</surname>
              </persName>
              <email type="md5">c0a23dcedaef8bf8b03c039e9418997d</email>
              <email type="domain">telecom-paris.fr</email>
              <idno type="idhal" notation="string">gael-richard</idno>
              <idno type="idhal" notation="numeric">14146</idno>
              <idno type="halauthorid" notation="string">22606-14146</idno>
              <idno type="IDREF">https://www.idref.fr/094977208</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-4960-0010</idno>
              <affiliation ref="#struct-554452"/>
              <affiliation ref="#struct-554512"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Vincent</forename>
                <surname>Lostanlen</surname>
              </persName>
              <email type="md5">fb6df559aa5c29ab76c527cfa88f7fc0</email>
              <email type="domain">ens.fr</email>
              <idno type="idhal" notation="string">lostanlen</idno>
              <idno type="idhal" notation="numeric">749246</idno>
              <idno type="halauthorid" notation="string">22295-749246</idno>
              <idno type="ARXIV">https://arxiv.org/a/lostanlen_v_1</idno>
              <idno type="IDREF">https://www.idref.fr/203022769</idno>
              <idno type="ORCID">https://orcid.org/0000-0003-0580-1651</idno>
              <idno type="VIAF">https://viaf.org/viaf/77150565679606251603</idno>
              <affiliation ref="#struct-1088564"/>
              <affiliation ref="#struct-1088571"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Yi-Hsuan</forename>
                <surname>Yang</surname>
              </persName>
              <idno type="halauthorid">2226573-0</idno>
              <affiliation ref="#struct-110803"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Meinard</forename>
                <surname>Müller</surname>
              </persName>
              <email type="md5">0ce8506c8762309b558819cac1e5a2cc</email>
              <email type="domain">audiolabs-erlangen.de</email>
              <idno type="idhal" notation="numeric">964000</idno>
              <idno type="halauthorid" notation="string">889157-964000</idno>
              <affiliation ref="#struct-444601"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Gaël</forename>
                <surname>RICHARD</surname>
              </persName>
              <email type="md5">c0a23dcedaef8bf8b03c039e9418997d</email>
              <email type="domain">telecom-paris.fr</email>
            </editor>
            <funder ref="#projanr-109693"/>
            <funder ref="#projanr-115531"/>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2024-06-13 17:07:06</date>
              <date type="whenModified">2026-01-29 18:14:03</date>
              <date type="whenReleased">2024-06-14 11:17:19</date>
              <date type="whenProduced">2024</date>
              <date type="whenEndEmbargoed">2024-06-13</date>
              <ref type="file" target="https://hal.science/hal-04611461v1/document">
                <date notBefore="2024-06-13"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://hal.science/hal-04611461v1/file/2024-Model-based%20Deep%20Learning%20for%20MIR.pdf" id="file-4611461-4001982">
                <date notBefore="2024-06-13"/>
              </ref>
            </edition>
            <edition n="v2">
              <date type="whenSubmitted">2024-06-17 09:39:42</date>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="534316">
                <persName>
                  <forename>Gaël</forename>
                  <surname>RICHARD</surname>
                </persName>
                <email type="md5">c0a23dcedaef8bf8b03c039e9418997d</email>
                <email type="domain">telecom-paris.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-04611461</idno>
            <idno type="halUri">https://hal.science/hal-04611461</idno>
            <idno type="halBibtex">richard:hal-04611461</idno>
            <idno type="halRefHtml">&lt;i&gt;IEEE Signal Processing Magazine&lt;/i&gt;, In press</idno>
            <idno type="halRef">IEEE Signal Processing Magazine, In press</idno>
            <availability status="restricted">
              <licence target="https://about.hal.science/hal-authorisation-v1/">HAL Authorization<ref corresp="#file-4611461-4001982"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt/>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Model-Based Deep Learning for Music Information Research</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Gael</forename>
                    <surname>Richard</surname>
                  </persName>
                  <email type="md5">c0a23dcedaef8bf8b03c039e9418997d</email>
                  <email type="domain">telecom-paris.fr</email>
                  <idno type="idhal" notation="string">gael-richard</idno>
                  <idno type="idhal" notation="numeric">14146</idno>
                  <idno type="halauthorid" notation="string">22606-14146</idno>
                  <idno type="IDREF">https://www.idref.fr/094977208</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-4960-0010</idno>
                  <affiliation ref="#struct-554452"/>
                  <affiliation ref="#struct-554512"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Vincent</forename>
                    <surname>Lostanlen</surname>
                  </persName>
                  <email type="md5">fb6df559aa5c29ab76c527cfa88f7fc0</email>
                  <email type="domain">ens.fr</email>
                  <idno type="idhal" notation="string">lostanlen</idno>
                  <idno type="idhal" notation="numeric">749246</idno>
                  <idno type="halauthorid" notation="string">22295-749246</idno>
                  <idno type="ARXIV">https://arxiv.org/a/lostanlen_v_1</idno>
                  <idno type="IDREF">https://www.idref.fr/203022769</idno>
                  <idno type="ORCID">https://orcid.org/0000-0003-0580-1651</idno>
                  <idno type="VIAF">https://viaf.org/viaf/77150565679606251603</idno>
                  <affiliation ref="#struct-1088564"/>
                  <affiliation ref="#struct-1088571"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Yi-Hsuan</forename>
                    <surname>Yang</surname>
                  </persName>
                  <idno type="halauthorid">2226573-0</idno>
                  <affiliation ref="#struct-110803"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Meinard</forename>
                    <surname>Müller</surname>
                  </persName>
                  <email type="md5">0ce8506c8762309b558819cac1e5a2cc</email>
                  <email type="domain">audiolabs-erlangen.de</email>
                  <idno type="idhal" notation="numeric">964000</idno>
                  <idno type="halauthorid" notation="string">889157-964000</idno>
                  <affiliation ref="#struct-444601"/>
                </author>
              </analytic>
              <monogr>
                <idno type="halJournalId" status="VALID">14039</idno>
                <idno type="issn">1053-5888</idno>
                <title level="j">IEEE Signal Processing Magazine</title>
                <imprint>
                  <publisher>Institute of Electrical and Electronics Engineers</publisher>
                  <date type="datePub" subtype="inPress">2024</date>
                </imprint>
              </monogr>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <classCode scheme="halDomain" n="spi.signal">Engineering Sciences [physics]/Signal and Image processing</classCode>
              <classCode scheme="halTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halOldTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halTreeTypology" n="ART">Journal articles</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>In this article, we investigate the notion of model-based deep learning in the realm of music information research (MIR). Loosely speaking, we refer to the term model-based deep learning for approaches that combine traditional knowledge-based methods with data-driven techniques, especially those based on deep learning, within a diff erentiable computing framework. In music, prior knowledge for instance related to sound production, music perception or music composition theory can be incorporated into the design of neural networks and associated loss functions. We outline three specifi c scenarios to illustrate the application of model-based deep learning in MIR, demonstrating the implementation of such concepts and their potential.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="researchteam" xml:id="struct-554452" status="VALID">
          <orgName>Signal, Statistique et Apprentissage</orgName>
          <orgName type="acronym">S2A</orgName>
          <date type="start">2019-02-22</date>
          <desc>
            <address>
              <addrLine>Télécom Paris 19 Place Marguerite Perey 91120 Palaiseau</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.telecom-paris.fr/fr/recherche/laboratoires/laboratoire-traitement-et-communication-de-linformation-ltci/les-equipes-de-recherche/signal-statistique-et-apprentissage-s2a</ref>
          </desc>
          <listRelation>
            <relation active="#struct-484335" type="direct"/>
            <relation active="#struct-302102" type="indirect"/>
            <relation active="#struct-1048346" type="indirect"/>
            <relation active="#struct-563936" type="indirect"/>
          </listRelation>
        </org>
        <org type="department" xml:id="struct-554512" status="VALID">
          <orgName>Département Images, Données, Signal</orgName>
          <orgName type="acronym">IDS</orgName>
          <date type="start">2017-01-01</date>
          <desc>
            <address>
              <addrLine>46, rue Barrault 75013 Paris ; 15 Place Marguerite Perey 91120 Palaiseau (depuis oct 2019)</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.telecom-paris.fr/fr/recherche/laboratoires/laboratoire-traitement-et-communication-de-linformation-ltci/les-departements-denseignement-et-recherche</ref>
          </desc>
          <listRelation>
            <relation active="#struct-300362" type="direct"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-1088564" status="VALID">
          <idno type="IdRef">203637585</idno>
          <idno type="RNSR">201722241F</idno>
          <idno type="ROR">https://ror.org/02snf8m58</idno>
          <orgName>Laboratoire des Sciences du Numérique de Nantes</orgName>
          <orgName type="acronym">LS2N</orgName>
          <date type="start">2022-01-01</date>
          <desc>
            <address>
              <addrLine>Nantes Université – faculté des Sciences et Techniques (FST)2 Chemin de la HoussinièreBP 92208, 44322 Nantes Cedex 3</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.ls2n.fr</ref>
          </desc>
          <listRelation>
            <relation active="#struct-300009" type="direct"/>
            <relation name="UMR6004" active="#struct-441569" type="direct"/>
            <relation active="#struct-481355" type="direct"/>
            <relation active="#struct-302102" type="indirect"/>
            <relation active="#struct-1086798" type="direct"/>
            <relation active="#struct-1083366" type="indirect"/>
            <relation active="#struct-1088543" type="direct"/>
            <relation active="#struct-1083400" type="indirect"/>
          </listRelation>
        </org>
        <org type="researchteam" xml:id="struct-1088571" status="VALID">
          <orgName>Signal, IMage et Son</orgName>
          <orgName type="acronym">LS2N - équipe SIMS</orgName>
          <date type="start">2022-01-01</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
          </desc>
          <listRelation>
            <relation active="#struct-1088564" type="direct"/>
            <relation active="#struct-300009" type="indirect"/>
            <relation name="UMR6004" active="#struct-441569" type="indirect"/>
            <relation active="#struct-481355" type="indirect"/>
            <relation active="#struct-302102" type="indirect"/>
            <relation active="#struct-1086798" type="indirect"/>
            <relation active="#struct-1083366" type="indirect"/>
            <relation active="#struct-1088543" type="indirect"/>
            <relation active="#struct-1083400" type="indirect"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-110803" status="VALID">
          <idno type="ROR">https://ror.org/05bqach95</idno>
          <orgName>National Taiwan University</orgName>
          <orgName type="acronym">NTU</orgName>
          <desc>
            <address>
              <addrLine>No. 1, Sec. 4, Roosevelt Road, Taipei, 10617 Taiwan</addrLine>
              <country key="TW"/>
            </address>
            <ref type="url">https://www.ntu.edu.tw/english</ref>
          </desc>
        </org>
        <org type="laboratory" xml:id="struct-444601" status="VALID">
          <orgName>International Audio Laboratories Erlangen</orgName>
          <orgName type="acronym">AUDIO LABS</orgName>
          <desc>
            <address>
              <addrLine>International Audio Laboratories Erlangen Am Wolfsmantel 33, 91058 Erlangen</addrLine>
              <country key="DE"/>
            </address>
            <ref type="url">https://www.audiolabs-erlangen.de/home</ref>
          </desc>
          <listRelation>
            <relation active="#struct-311714" type="direct"/>
            <relation active="#struct-569680" type="direct"/>
            <relation active="#struct-330453" type="indirect"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-484335" status="VALID">
          <idno type="IdRef">162384270</idno>
          <idno type="ISNI">0000 0000 9194 9502</idno>
          <idno type="RNSR">200319327Z</idno>
          <idno type="ROR">https://ror.org/057er4c39</idno>
          <orgName>Laboratoire Traitement et Communication de l'Information</orgName>
          <orgName type="acronym">LTCI</orgName>
          <date type="start">2017-01-01</date>
          <desc>
            <address>
              <addrLine>Télécom Paris 19 Place Marguerite Perey 91120 PALAISEAU</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.telecom-paris.fr/fr/recherche/laboratoires/laboratoire-traitement-et-communication-de-linformation-ltci</ref>
          </desc>
          <listRelation>
            <relation active="#struct-302102" type="direct"/>
            <relation active="#struct-1048346" type="direct"/>
            <relation active="#struct-563936" type="indirect"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-302102" status="VALID">
          <idno type="IdRef">192427156</idno>
          <idno type="ISNI">000000012202567X</idno>
          <idno type="ROR">https://ror.org/025vp2923</idno>
          <idno type="Wikidata">Q27962533</idno>
          <orgName>Institut Mines-Télécom [Paris]</orgName>
          <orgName type="acronym">IMT</orgName>
          <date type="start">2012-03-01</date>
          <desc>
            <address>
              <addrLine>19 Place Marguerite Perey, 91120 Palaiseau</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.imt.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-1048346" status="VALID">
          <idno type="IdRef">026375273</idno>
          <idno type="ISNI">0000 0001 2108 2779</idno>
          <idno type="ROR">https://ror.org/01naq7912</idno>
          <orgName>Télécom Paris</orgName>
          <date type="start">2019-06-12</date>
          <desc>
            <address>
              <addrLine>19 Place Marguerite Perey 91120 Palaiseau</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.telecom-paris.fr</ref>
          </desc>
          <listRelation>
            <relation active="#struct-302102" type="direct"/>
            <relation active="#struct-563936" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-563936" status="VALID">
          <idno type="IdRef">238327159</idno>
          <idno type="ISNI">0000000502717600</idno>
          <idno type="ROR">https://ror.org/042tfbd02</idno>
          <idno type="Wikidata">Q48759778</idno>
          <orgName>Institut Polytechnique de Paris</orgName>
          <orgName type="acronym">IP Paris</orgName>
          <date type="start">2019-06-02</date>
          <desc>
            <address>
              <addrLine>Route de Saclay, 91120 Palaiseau Cedex, France</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.ip-paris.fr</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-300362" status="VALID">
          <idno type="ROR">https://ror.org/01naq7912</idno>
          <orgName>Télécom ParisTech</orgName>
          <date type="start">2008-01-01</date>
          <date type="end">2019-06-11</date>
          <desc>
            <address>
              <addrLine>46 rue Barrault 75634 Paris Cedex 13</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.telecom-paris.fr</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-300009" status="VALID">
          <idno type="ROR">https://ror.org/02kvxyf05</idno>
          <orgName>Institut National de Recherche en Informatique et en Automatique</orgName>
          <orgName type="acronym">Inria</orgName>
          <desc>
            <address>
              <addrLine>Domaine de VoluceauRocquencourt - BP 10578153 Le Chesnay Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.inria.fr/en/</ref>
          </desc>
        </org>
        <org type="regroupinstitution" xml:id="struct-441569" status="VALID">
          <idno type="IdRef">02636817X</idno>
          <idno type="ISNI">0000000122597504</idno>
          <idno type="ROR">https://ror.org/02feahw73</idno>
          <orgName>Centre National de la Recherche Scientifique</orgName>
          <orgName type="acronym">CNRS</orgName>
          <date type="start">1939-10-19</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.cnrs.fr/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-481355" status="VALID">
          <idno type="IdRef">202743233</idno>
          <idno type="ROR">https://ror.org/030hj3061</idno>
          <orgName>IMT Atlantique</orgName>
          <orgName type="acronym">IMT Atlantique</orgName>
          <date type="start">2017-01-01</date>
          <desc>
            <address>
              <addrLine>Campus Brest : Technopôle Brest-Iroise CS 8381829238 BREST Cedex 3 -Campus Nantes : 4, rue Alfred Kastler- La chantrerie 44300 NANTES -Campus Rennes :  2 Rue de la Châtaigneraie, 35510 CESSON SEVIGNE</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.imt-atlantique.fr</ref>
          </desc>
          <listRelation>
            <relation active="#struct-302102" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-1086798" status="VALID">
          <idno type="IdRef">03063525X</idno>
          <idno type="ISNI">0000000122039289</idno>
          <idno type="ROR">https://ror.org/03nh7d505</idno>
          <orgName>NANTES UNIVERSITÉ - École Centrale de Nantes</orgName>
          <orgName type="acronym">Nantes Univ - ECN</orgName>
          <date type="start">2022-01-01</date>
          <desc>
            <address>
              <addrLine>1 rue de la Noë - BP 92101 - 44321 Nantes cedex 3</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.ec-nantes.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-1083366" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-1083366" status="VALID">
          <idno type="IdRef">258086599</idno>
          <idno type="ROR">https://ror.org/03gnr7b55</idno>
          <orgName>Nantes Université</orgName>
          <orgName type="acronym">Nantes Univ</orgName>
          <date type="start">2022-01-01</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
          </desc>
        </org>
        <org type="regrouplaboratory" xml:id="struct-1088543" status="VALID">
          <orgName>Nantes université - UFR des Sciences et des Techniques</orgName>
          <orgName type="acronym">Nantes univ -  UFR ST</orgName>
          <date type="start">2022-01-01</date>
          <desc>
            <address>
              <addrLine>2, rue de la Houssinière - BP 92208 - 44322 Nantes cedex 3</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.sciences-techniques.univ-nantes.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-1083400" type="direct"/>
            <relation active="#struct-1083366" type="indirect"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-1083400" status="VALID">
          <orgName>Nantes Université - pôle Sciences et technologie</orgName>
          <date type="start">2022-01-01</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://nouvelleuniversite.univ-nantes.fr/les-poles</ref>
          </desc>
          <listRelation>
            <relation active="#struct-1083366" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-311714" status="VALID">
          <idno type="ROR">https://ror.org/00f7hpc57</idno>
          <orgName>Friedrich-Alexander Universität Erlangen-Nürnberg = University of Erlangen-Nuremberg</orgName>
          <orgName type="acronym">FAU</orgName>
          <desc>
            <address>
              <addrLine>Schlossplatz 4, 91054 Erlangen, Germany</addrLine>
              <country key="DE"/>
            </address>
            <ref type="url">http://www.fau.eu/</ref>
          </desc>
        </org>
        <org type="institution" xml:id="struct-569680" status="VALID">
          <idno type="ROR">https://ror.org/024ape423</idno>
          <orgName>Fraunhofer Institute for Integrated Circuits</orgName>
          <orgName type="acronym">Fraunhofer IIS</orgName>
          <desc>
            <address>
              <addrLine>Am Wolfsmantel 33, 91058 Erlangen</addrLine>
              <country key="DE"/>
            </address>
            <ref type="url">https://www.iis.fraunhofer.de/en.html</ref>
          </desc>
          <listRelation>
            <relation active="#struct-330453" type="direct"/>
          </listRelation>
        </org>
        <org type="regroupinstitution" xml:id="struct-330453" status="VALID">
          <idno type="ISNI">0000 0000 9261 3939</idno>
          <idno type="ROR">https://ror.org/05hkkdn48</idno>
          <orgName>Fraunhofer</orgName>
          <orgName type="acronym">Fraunhofer-Gesellschaft</orgName>
          <desc>
            <address>
              <addrLine>Hansastraße 27c, 80686 München</addrLine>
              <country key="DE"/>
            </address>
            <ref type="url">https://www.fraunhofer.de/en.html</ref>
          </desc>
        </org>
      </listOrg>
      <listOrg type="projects">
        <org type="anrProject" xml:id="projanr-109693" status="VALID">
          <idno type="anr">ANR-23-CE23-0007</idno>
          <orgName>MuReNN</orgName>
          <desc>Réseaux de neurones multirésolution</desc>
          <date type="start">2023</date>
        </org>
        <org type="anrProject" xml:id="projanr-115531" status="VALID">
          <idno type="anr">ANR-23-CE37-0025</idno>
          <orgName>nIrVAna</orgName>
          <desc>Intégration sensorimotrice de la variabilité pendant l'apprentissage du chant</desc>
          <date type="start">2023</date>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>