![]() While they originate from the same source database and same underlying protocol, they are explored in two specific use case scenarios. The ASVspoof 2019 edition is the first to consider all three spoofing attack types within a single challenge. The second edition, ASVspoof 2017, focused instead upon replay spoofing attacks and countermeasures. The first edition, ASVspoof 2015, focused upon the study of countermeasures for detecting of text-to-speech synthesis (TTS) and voice conversion (VC) attacks. The ASVspoof challenge initiative was created to foster research on anti-spoofing and to provide common platforms for the assessment and comparison of spoofing countermeasures. In addition to impersonation, ASV systems are vulnerable to replay, speech synthesis, and voice conversion attacks. Unfortunately, just like all other biometric systems, ASV is vulnerable to spoofing, also referred to as “presentation attacks.” These vulnerabilities are generally unacceptable and call for spoofing countermeasures or “presentation attack detection” systems. Automatic speaker verification (ASV) is one of the most natural and convenient means of biometric person recognition.
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