RedDots Replayed: A New Replay Spoofing Attack Corpus for Text-Dependent Speaker Verification Research
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CitationKinnunen, Tomi. Sahidullah, Md. Falcone, Mauro. Costantini, Luca. Gonzalez-Hautamäki, Rosa. Thomsen, Dennis. Sarkar, Archintya. Tan, Zheng-Hua. Delgado, Hector. Todisco, Massimiliano. Evans, Nicholas. Hautamäki, Ville. Lee, Kong Aik. (2017). RedDots Replayed: A New Replay Spoofing Attack Corpus for Text-Dependent Speaker Verification Research. Proceedings of The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2017, 5395-5399. 10.1109/ICASSP.2017.7953187.
This paper describes a new database for the assessment of automatic speaker verification (ASV) vulnerabilities to spoofing attacks. In contrast to other recent data collection efforts, the new database has been designed to support the development of replay spoofing countermeasures tailored towards the protection of text-dependent ASV systems from replay attacks in the face of variable recording and playback conditions. Derived from the re-recording of the original RedDots database, the effort is aligned with that in text-dependent ASV and thus well positioned for future assessments of replay spoofing countermeasures, not just in isolation, but in integration with ASV. The paper describes the database design and re-recording, a protocol and some early spoofing detection results. The new “RedDots Replayed” database is publicly available through a creative commons license.