Wu, 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). http://dx.doi.org/10.7488/ds/298.
The 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.
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