Selecting Representative Speakers for a Speech Database on the Basis of Heterogeneous Similarity Criteria
Identifieur interne : 004D19 ( Main/Merge ); précédent : 004D18; suivant : 004D20Selecting Representative Speakers for a Speech Database on the Basis of Heterogeneous Similarity Criteria
Auteurs : Sacha Krstulovi [France, Allemagne] ; Frédéric Bimbot [France] ; Olivier Boëffard [France] ; Delphine Charlet [France] ; Dominique Fohr [France] ; Odile Mella [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
English descriptors
- mix :
Abstract
Abstract: In the context of the Neologos French speech database creation project, a general methodology was defined for the selection of representative speaker recordings. The selection aims at providing a good coverage in terms of speaker variability while limiting the number of recorded speakers. This is intended to make the resulting database both more adapted to the development of recently proposed multi-model methods and less expensive to collect. The presented methodology proposes a selection process based on the optimization of a quality criterion defined in a variety of speaker similarity modeling frameworks. The selection can be achieved with respect to a unique similarity criterion, using classical clustering methods such as Hierarchical or K-Medians clustering, or it can combine several speaker similarity criteria, thanks to a newly developed clustering method called Focal Speakers Selection. In this framework, four different speaker similarity criteria are tested, and three different speaker clustering algorithms are compared. Results pertaining to the collection of the Neologos database are also discussed.
Url:
DOI: 10.1007/978-3-540-74122-0_21
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ISTEX:696DE3B561558866B87031B0F3EB698E7EA90052Le document en format XML
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The selection aims at providing a good coverage in terms of speaker variability while limiting the number of recorded speakers. This is intended to make the resulting database both more adapted to the development of recently proposed multi-model methods and less expensive to collect. The presented methodology proposes a selection process based on the optimization of a quality criterion defined in a variety of speaker similarity modeling frameworks. The selection can be achieved with respect to a unique similarity criterion, using classical clustering methods such as Hierarchical or K-Medians clustering, or it can combine several speaker similarity criteria, thanks to a newly developed clustering method called Focal Speakers Selection. In this framework, four different speaker similarity criteria are tested, and three different speaker clustering algorithms are compared. Results pertaining to the collection of the Neologos database are also discussed.</div></front></TEI></HAL><ISTEX><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">Selecting Representative Speakers for a Speech Database on the Basis of Heterogeneous Similarity Criteria</title><author><name sortKey="Krstulovi, Sacha" sort="Krstulovi, Sacha" uniqKey="Krstulovi S" first="Sacha" last="Krstulovi">Sacha Krstulovi</name></author><author><name sortKey="Bimbot, Frederic" sort="Bimbot, Frederic" uniqKey="Bimbot F" first="Frédéric" last="Bimbot">Frédéric Bimbot</name></author><author><name sortKey="Boeffard, Olivier" sort="Boeffard, Olivier" uniqKey="Boeffard O" first="Olivier" last="Boëffard">Olivier Boëffard</name></author><author><name sortKey="Charlet, Delphine" sort="Charlet, Delphine" uniqKey="Charlet D" first="Delphine" last="Charlet">Delphine Charlet</name></author><author><name sortKey="Fohr, Dominique" sort="Fohr, Dominique" uniqKey="Fohr D" first="Dominique" last="Fohr">Dominique Fohr</name></author><author><name sortKey="Mella, Odile" sort="Mella, Odile" uniqKey="Mella O" first="Odile" last="Mella">Odile Mella</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:696DE3B561558866B87031B0F3EB698E7EA90052</idno><date when="2007" year="2007">2007</date><idno type="doi">10.1007/978-3-540-74122-0_21</idno><idno type="url">https://api.istex.fr/ark:/67375/HCB-JS3HPWJF-H/fulltext.pdf</idno><idno type="wicri:Area/Istex/Corpus">001854</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001854</idno><idno type="wicri:Area/Istex/Curation">001835</idno><idno type="wicri:Area/Istex/Checkpoint">000F70</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Checkpoint">000F70</idno><idno type="wicri:doubleKey">0302-9743:2007:Krstulovi S:selecting:representative:speakers</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Selecting Representative Speakers for a Speech Database on the Basis of Heterogeneous Similarity Criteria</title><author><name sortKey="Krstulovi, Sacha" sort="Krstulovi, Sacha" uniqKey="Krstulovi S" first="Sacha" last="Krstulovi">Sacha Krstulovi</name><affiliation wicri:level="1"><country xml:lang="fr">France</country><wicri:regionArea>IRISA/METISS, Campus de Beaulieu, 35 042 Rennes Cedex</wicri:regionArea><wicri:noRegion>35 042 Rennes Cedex</wicri:noRegion><wicri:noRegion>35 042 Rennes Cedex</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Allemagne</country></affiliation></author><author><name sortKey="Bimbot, Frederic" sort="Bimbot, Frederic" uniqKey="Bimbot F" first="Frédéric" last="Bimbot">Frédéric Bimbot</name><affiliation wicri:level="1"><country xml:lang="fr">France</country><wicri:regionArea>IRISA/METISS, Campus de Beaulieu, 35 042 Rennes Cedex</wicri:regionArea><wicri:noRegion>35 042 Rennes Cedex</wicri:noRegion><wicri:noRegion>35 042 Rennes Cedex</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></affiliation></author><author><name sortKey="Boeffard, Olivier" sort="Boeffard, Olivier" uniqKey="Boeffard O" first="Olivier" last="Boëffard">Olivier Boëffard</name><affiliation wicri:level="3"><country xml:lang="fr">France</country><wicri:regionArea>IRISA/CORDIAL, 6 r. Kerampont, BP 80518, 22 305 Lannion Cedex</wicri:regionArea><placeName><region type="region" nuts="2">Hauts-de-France</region><region type="old region" nuts="2">Picardie</region><settlement type="city">22 305 Lannion</settlement></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></affiliation></author><author><name sortKey="Charlet, Delphine" sort="Charlet, Delphine" uniqKey="Charlet D" first="Delphine" last="Charlet">Delphine Charlet</name><affiliation wicri:level="1"><country xml:lang="fr">France</country><wicri:regionArea>France Télécom R&D, 2 ave. Marzin, 22 307 Lannion</wicri:regionArea><wicri:noRegion>22 307 Lannion</wicri:noRegion><wicri:noRegion>22 307 Lannion</wicri:noRegion></affiliation><affiliation></affiliation></author><author><name sortKey="Fohr, Dominique" sort="Fohr, Dominique" uniqKey="Fohr D" first="Dominique" last="Fohr">Dominique Fohr</name><affiliation wicri:level="1"><country xml:lang="fr">France</country><wicri:regionArea>LORIA, Campus Universitaire, BP239, 54 506 Vandoeuvre Cedex</wicri:regionArea><wicri:noRegion>54 506 Vandoeuvre Cedex</wicri:noRegion><wicri:noRegion>54 506 Vandoeuvre Cedex</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></affiliation></author><author><name sortKey="Mella, Odile" sort="Mella, Odile" uniqKey="Mella O" first="Odile" last="Mella">Odile Mella</name><affiliation wicri:level="1"><country xml:lang="fr">France</country><wicri:regionArea>LORIA, Campus Universitaire, BP239, 54 506 Vandoeuvre Cedex</wicri:regionArea><wicri:noRegion>54 506 Vandoeuvre Cedex</wicri:noRegion><wicri:noRegion>54 506 Vandoeuvre Cedex</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></affiliation></author></analytic><monogr></monogr><series><title level="s" type="main" xml:lang="en">Lecture Notes in Computer Science</title><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: In the context of the Neologos French speech database creation project, a general methodology was defined for the selection of representative speaker recordings. The selection aims at providing a good coverage in terms of speaker variability while limiting the number of recorded speakers. This is intended to make the resulting database both more adapted to the development of recently proposed multi-model methods and less expensive to collect. The presented methodology proposes a selection process based on the optimization of a quality criterion defined in a variety of speaker similarity modeling frameworks. The selection can be achieved with respect to a unique similarity criterion, using classical clustering methods such as Hierarchical or K-Medians clustering, or it can combine several speaker similarity criteria, thanks to a newly developed clustering method called Focal Speakers Selection. In this framework, four different speaker similarity criteria are tested, and three different speaker clustering algorithms are compared. Results pertaining to the collection of the Neologos database are also discussed.</div></front></TEI></ISTEX></double></record>Pour manipuler ce document sous Unix (Dilib)
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