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Depositordc.contributorWu, Zhizheng
Depositordc.contributorYamagishi, Junichi
Funderdc.contributor.otherEPSRC - Engineering and Physical Sciences Research Councilen_UK
Data Creatordc.creatorWu, Zhizheng
Data Creatordc.creatorKinnunen, Tomi
Data Creatordc.creatorEvans, Nicholas
Data Creatordc.creatorYamagishi, Junichi
Date Accessioneddc.date.accessioned2015-09-17T13:12:20Z
Date Availabledc.date.available2015-09-17T13:12:20Z
Citationdc.identifier.citationWu, Zhizheng; Kinnunen, Tomi; Evans, Nicholas; Yamagishi, Junichi. (2015). Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2015) Database, [dataset]. University of Edinburgh. The Centre for Speech Technology Research (CSTR). https://doi.org/10.7488/ds/298.en
Persistent Identifierdc.identifier.urihttps://hdl.handle.net/10283/853
Persistent Identifierdc.identifier.urihttps://doi.org/10.7488/ds/298
Dataset Description (abstract)dc.description.abstractThe database has been used in the first Automatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2015). Genuine speech is collected from 106 speakers (45 male, 61 female) and with no significant channel or background noise effects. Spoofed speech is generated from the genuine data using a number of different spoofing algorithms. The full dataset is partitioned into three subsets, the first for training, the second for development and the third for evaluation. More details can be found in the evaluation plan in the summary paper.en_UK
Languagedc.language.isoengen_UK
Publisherdc.publisherUniversity of Edinburgh. The Centre for Speech Technology Research (CSTR)en_UK
Relation (Is Referenced By)dc.relation.isreferencedbyhttps://doi.org/10.1109/JSTSP.2017.2671435
Relation (Is Referenced By)dc.relation.isreferencedbyZ. Wu et al., "ASVspoof: The Automatic Speaker Verification Spoofing and Countermeasures Challenge," in IEEE Journal of Selected Topics in Signal Processing, vol. 11, no. 4, pp. 588-604, June 2017. doi: 10.1109/JSTSP.2017.2671435
Rightsdc.rightsCreative Commons Attribution 4.0 International Public Licenseen
Subjectdc.subjectSpeaker Verificationen_UK
Subjectdc.subjectSpoofingen_UK
Subjectdc.subjectAnti-Spoofingen_UK
Subjectdc.subjectCountermeasureen_UK
Subject Classificationdc.subject.classificationMathematical and Computer Sciences::Speech and Natural Language Processingen_UK
Titledc.titleAutomatic Speaker Verification Spoofing and Countermeasures Challenge (ASVspoof 2015) Databaseen_UK
Typedc.typedataseten_UK

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