Spectro-temporal features for audio replay attack detection. (12th January 2021)

• Record Type: Journal Article
• Authors: Hemavathi, R.; Swamy, R. Kumara
• Is Part Of: International journal of high performance computing and networking. Volume 16:Number 2/3(2020)
• Page Start: 170
• Page End: 177
• Publication Date: 2021-01-12
• Subjects: speaker verification -- replay speech -- spoofing attack -- time-frequency representation; High performance computing -- Periodicals; Computer networks -- Periodicals; High performance computing; Periodicals; 004.05
• Languages: English
• ISSNs: 1740-0562

Abstract

Speaker verification can be viewed as a process of verifying the person using his/her utterance. The major challenge to implement automatic speaker verification in security applications is spoofing attacks. Speaker verification systems can be spoofed using pre-recorded speech, synthetic and voice conversion speech. Hence, there is a need to develop spoof detection system in order to make voice biometrics viable for security applications. This paper proposes to explore time-frequency representations obtained using gammatone filterbank and constant Q transform for detecting presentation attack for automatic speaker verification. The experiments are carried out for ASV spoof 2017 database and the results are compared with state-of-art replay speech detection systems based on cepstral features.