Audio source separation using multiple deformed references
Identifieur interne : 000979 ( Main/Merge ); précédent : 000978; suivant : 000980Audio source separation using multiple deformed references
Auteurs : Nathan Souviraà-Labastie [France] ; Anaik Olivero [France] ; Emmanuel Vincent [France] ; Frédéric Bimbot [France]Source :
Abstract
This paper deals with audio source separation guided by multiple audio references. We present a general framework where additional audio references for one or more sources of a given mixture are available. Each audio reference is another mixture which is supposed to contain at least one source similar to one of the target sources. Deformations between the sources of interest and their references are modeled in a general manner. A nonnegative matrix co-factorization algorithm is used which allows sharing of information between the considered mixtures. We run our algorithm on music plus voice mixtures with music and/or voice references. Applied on movies and TV series data, our algorithm improves the signal-todistortion ratio (SDR) of the sources with the lowest intensity by 9 to 12 decibels with respect to original mixture.
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type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-300009" type="indirect"><org type="institution" xml:id="struct-300009" status="VALID"><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"></country></address><ref type="url">http://www.inria.fr/en/</ref></desc></org></tutelle><tutelle active="#struct-419366" type="direct"><org type="department" xml:id="struct-419366" status="VALID"><orgName>SIGNAUX ET IMAGES NUMÉRIQUES, ROBOTIQUE</orgName><orgName type="acronym">IRISA-D5</orgName><desc><address><country key="FR"></country></address><ref type="url">https://www.irisa.fr/fr/departements/d5-signaux-images-numeriques-robotique</ref></desc><listRelation><relation active="#struct-105128" type="direct"></relation><relation name="UMR6074" active="#struct-441569" 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type="url">http://www.irisa.fr</ref></desc><listRelation><relation name="UMR6074" active="#struct-441569" type="direct"></relation><relation active="#struct-172265" type="direct"></relation><relation active="#struct-105160" type="direct"></relation><relation active="#struct-247362" type="direct"></relation><relation active="#struct-300009" type="direct"></relation><relation active="#struct-300812" type="direct"></relation><relation name="- RENNES" active="#struct-301232" type="direct"></relation><relation active="#struct-301262" type="direct"></relation></listRelation></org></tutelle><tutelle name="UMR6074" active="#struct-441569" type="indirect"><org type="institution" xml:id="struct-441569" status="VALID"><idno type="ISNI">0000000122597504</idno><idno type="IdRef">02636817X</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"></country></address><ref type="url">http://www.cnrs.fr/</ref></desc></org></tutelle><tutelle active="#struct-172265" type="indirect"><org type="institution" xml:id="struct-172265" status="VALID"><orgName>Université de Bretagne Sud</orgName><orgName type="acronym">UBS</orgName><desc><address><addrLine>BP 92116 - 56321 Lorient cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-ubs.fr/</ref></desc></org></tutelle><tutelle active="#struct-105160" type="indirect"><org type="institution" xml:id="struct-105160" status="VALID"><orgName>Université de Rennes 1</orgName><orgName type="acronym">UR1</orgName><desc><address><addrLine>2 rue du Thabor - CS 46510 - 35065 Rennes cedex</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-rennes1.fr/</ref></desc></org></tutelle><tutelle active="#struct-247362" type="indirect"><org type="institution" xml:id="struct-247362" status="VALID"><orgName>École normale supérieure - Rennes</orgName><orgName type="acronym">ENS Rennes</orgName><desc><address><addrLine>Campus de Ker Lann - avenue Robert Schuman - 35170 Bruz</addrLine><country key="FR"></country></address><ref type="url">http://www.ens-rennes.fr</ref></desc></org></tutelle><tutelle active="#struct-300812" type="indirect"><org type="institution" xml:id="struct-300812" status="VALID"><orgName>SUPELEC</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle name="- RENNES" active="#struct-301232" type="indirect"><org type="institution" xml:id="struct-301232" status="VALID"><orgName>Institut National des Sciences Appliquées</orgName><orgName type="acronym">INSA</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle active="#struct-301262" type="indirect"><org type="institution" xml:id="struct-301262" status="VALID"><orgName>Télécom Bretagne</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Lorient</settlement><region type="region" nuts="2">Région Bretagne</region></placeName><orgName type="university">Université de Bretagne-Sud</orgName><orgName type="institution" wicri:auto="newGroup">Université européenne de Bretagne</orgName><placeName><settlement type="city">Rennes</settlement><region type="region" nuts="2">Région Bretagne</region></placeName><orgName type="university">Université de Rennes 1</orgName><orgName type="institution" wicri:auto="newGroup">Université européenne de Bretagne</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper deals with audio source separation guided by multiple audio references. We present a general framework where additional audio references for one or more sources of a given mixture are available. Each audio reference is another mixture which is supposed to contain at least one source similar to one of the target sources. Deformations between the sources of interest and their references are modeled in a general manner. A nonnegative matrix co-factorization algorithm is used which allows sharing of information between the considered mixtures. We run our algorithm on music plus voice mixtures with music and/or voice references. Applied on movies and TV series data, our algorithm improves the signal-todistortion ratio (SDR) of the sources with the lowest intensity by 9 to 12 decibels with respect to original mixture.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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