Commit 5fe35b11 authored by Pavel KORSHUNOV's avatar Pavel KORSHUNOV
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removed non-ascii character from README.rts

parent a7157c57
Pipeline #3463 passed with stages
in 14 minutes and 12 seconds
......@@ -25,7 +25,7 @@ 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 spoong algorithms. The full dataset is partitioned into three
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
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