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dcterms:bibliographicCitation <http://dblp.uni-trier.de/rec/bibtex/conf/icassp/CornellWMWPOS23>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Manuel_Pariente>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Nobutaka_Ono>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Samuele_Cornell>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Shinji_Watanabe_0001>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Stefano_Squartini>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Yoshiki_Masuyama>
dc:creator <https://dblp.l3s.de/d2r/resource/authors/Zhong-Qiu_Wang>
foaf:homepage <http://dx.doi.org/doi.org%2F10.1109%2FICASSP49357.2023.10095961>
foaf:homepage <https://doi.org/10.1109/ICASSP49357.2023.10095961>
dc:identifier DBLP conf/icassp/CornellWMWPOS23 (xsd:string)
dc:identifier DOI doi.org%2F10.1109%2FICASSP49357.2023.10095961 (xsd:string)
dcterms:issued 2023 (xsd:gYear)
rdfs:label Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. (xsd:string)
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Manuel_Pariente>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Nobutaka_Ono>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Samuele_Cornell>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Shinji_Watanabe_0001>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Stefano_Squartini>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Yoshiki_Masuyama>
foaf:maker <https://dblp.l3s.de/d2r/resource/authors/Zhong-Qiu_Wang>
swrc:pages 1-2 (xsd:string)
dcterms:partOf <https://dblp.l3s.de/d2r/resource/publications/conf/icassp/2023>
owl:sameAs <http://bibsonomy.org/uri/bibtexkey/conf/icassp/CornellWMWPOS23/dblp>
owl:sameAs <http://dblp.rkbexplorer.com/id/conf/icassp/CornellWMWPOS23>
rdfs:seeAlso <http://dblp.uni-trier.de/db/conf/icassp/icassp2023.html#CornellWMWPOS23>
rdfs:seeAlso <https://doi.org/10.1109/ICASSP49357.2023.10095961>
swrc:series <https://dblp.l3s.de/d2r/resource/conferences/icassp>
dc:title Multi-Channel Speaker Extraction with Adversarial Training: The Wavlab Submission to The Clarity ICASSP 2023 Grand Challenge. (xsd:string)
dc:type <http://purl.org/dc/dcmitype/Text>
rdf:type swrc:InProceedings
rdf:type foaf:Document