RedDots Replayed: A New Replay Spoofing Attack Corpus for Text-dependent Speaker Verification Research

Tomi Kinnunen; Md Sahidullah; Mauro Falcone; Luca  Costantini; Rosa Gonzalez Hautamaki; Dennis Alexander Lehmann Thomsen; Achintya Kumar Sarkar; Zheng-Hua Tan; Hector Delgado; Massimiliano  Todisco; Nicholas Evans; Ville Hautamaki; Kong Aik Lee

doi:10.1109/ICASSP.2017.7953187

RedDots Replayed: A New Replay Spoofing Attack Corpus for Text-dependent Speaker Verification Research

Tomi Kinnunen, Md Sahidullah, Mauro Falcone, Luca Costantini, Rosa Gonzalez Hautamaki, Dennis Alexander Lehmann Thomsen, Achintya Kumar Sarkar, Zheng-Hua Tan, Hector Delgado, Massimiliano Todisco, Nicholas Evans, Ville Hautamaki, Kong Aik Lee

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

97 Citations (Scopus)

Abstract

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 “Red-Dots Replayed” database is publicly available through a creative commons license.

Original language	English
Title of host publication	2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Number of pages	5
Publisher	IEEE
Publication date	Mar 2017
Pages	5395-5399
ISBN (Electronic)	978-1-5090-4117-6
DOIs	https://doi.org/10.1109/ICASSP.2017.7953187
Publication status	Published - Mar 2017
Event	The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing: The Internet of Signals - New Orleans, United States Duration: 5 Mar 2017 → 9 Mar 2017 http://www.ieee-icassp2017.org/ http://www.ieee-icassp2017.org/

Conference

Conference	The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing
Country/Territory	United States
City	New Orleans
Period	05/03/2017 → 09/03/2017
Internet address	http://www.ieee-icassp2017.org/ http://www.ieee-icassp2017.org/

Keywords

speaker verification
spoofing
replay

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10.1109/ICASSP.2017.7953187

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Kinnunen, T., Sahidullah, M., Falcone, M., Costantini, L., Hautamaki, R. G., Thomsen, D. A. L., Sarkar, A. K., Tan, Z-H., Delgado, H., Todisco, M., Evans, N., Hautamaki, V., & Lee, K. A. (2017). RedDots Replayed: A New Replay Spoofing Attack Corpus for Text-dependent Speaker Verification Research. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 5395-5399). IEEE. https://doi.org/10.1109/ICASSP.2017.7953187

@inproceedings{43a5e03095e74b6a9799d6c2cb7c8083,

title = "RedDots Replayed: A New Replay Spoofing Attack Corpus for Text-dependent Speaker Verification Research",

abstract = "This paper describes a new database for the assessment of automaticspeaker 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 “Red-Dots Replayed” database is publicly available through a creative commons license.",

keywords = "speaker verification, spoofing, replay",

author = "Tomi Kinnunen and Md Sahidullah and Mauro Falcone and Luca Costantini and Hautamaki, {Rosa Gonzalez} and Thomsen, {Dennis Alexander Lehmann} and Sarkar, {Achintya Kumar} and Zheng-Hua Tan and Hector Delgado and Massimiliano Todisco and Nicholas Evans and Ville Hautamaki and Lee, {Kong Aik}",

year = "2017",

month = mar,

doi = "10.1109/ICASSP.2017.7953187",

language = "English",

pages = "5395--5399",

booktitle = "2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",

publisher = "IEEE",

address = "United States",

note = "The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing : The Internet of Signals, ICASSP2017 ; Conference date: 05-03-2017 Through 09-03-2017",

url = "http://www.ieee-icassp2017.org/, http://www.ieee-icassp2017.org/",

}

Kinnunen, T, Sahidullah, M, Falcone, M, Costantini, L, Hautamaki, RG, Thomsen, DAL, Sarkar, AK, Tan, Z-H, Delgado, H, Todisco, M, Evans, N, Hautamaki, V & Lee, KA 2017, RedDots Replayed: A New Replay Spoofing Attack Corpus for Text-dependent Speaker Verification Research. in 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, pp. 5395-5399, The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing, New Orleans, United States, 05/03/2017. https://doi.org/10.1109/ICASSP.2017.7953187

RedDots Replayed: A New Replay Spoofing Attack Corpus for Text-dependent Speaker Verification Research. / Kinnunen, Tomi; Sahidullah, Md; Falcone, Mauro et al.
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2017. p. 5395-5399.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - RedDots Replayed

T2 - The 42nd IEEE International Conference on Acoustics, Speech and Signal Processing

AU - Kinnunen, Tomi

AU - Sahidullah, Md

AU - Falcone, Mauro

AU - Costantini, Luca

AU - Hautamaki, Rosa Gonzalez

AU - Thomsen, Dennis Alexander Lehmann

AU - Sarkar, Achintya Kumar

AU - Tan, Zheng-Hua

AU - Delgado, Hector

AU - Todisco, Massimiliano

AU - Evans, Nicholas

AU - Hautamaki, Ville

AU - Lee, Kong Aik

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N2 - This paper describes a new database for the assessment of automaticspeaker 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 “Red-Dots Replayed” database is publicly available through a creative commons license.

AB - This paper describes a new database for the assessment of automaticspeaker 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 “Red-Dots Replayed” database is publicly available through a creative commons license.

KW - speaker verification

KW - spoofing

KW - replay

U2 - 10.1109/ICASSP.2017.7953187

DO - 10.1109/ICASSP.2017.7953187

M3 - Article in proceeding

SP - 5395

EP - 5399

BT - 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

PB - IEEE

Y2 - 5 March 2017 through 9 March 2017

ER -

RedDots Replayed: A New Replay Spoofing Attack Corpus for Text-dependent Speaker Verification Research

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