RedDots replayed: A new replay spoofing attack corpus for text-dependent speaker verification research

@article{Kinnunen2017RedDotsRA,
  title={RedDots replayed: A new replay spoofing attack corpus for text-dependent speaker verification research},
  author={Tomi Kinnunen and Md. Sahidullah and Mauro Falcone and Luca Costantini and Rosa Gonz{\'a}lez Hautam{\"a}ki and Dennis Alexander Lehmann Thomsen and Achintya Kr. Sarkar and Zheng-Hua Tan and H{\'e}ctor Delgado and Massimiliano Todisco and Nicholas W. D. Evans and Ville Hautam{\"a}ki and Kong-Aik Lee},
  journal={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2017},
  pages={5395-5399}
}
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… CONTINUE READING
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A Deeper Look at Gaussian Mixture Model Based Anti-Spoofing Systems

2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) • 2018
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An Approach to Detect Replay Attack in Automatic Speaker Verification System

2018 International Conference on Computer, Communication, and Signal Processing (ICCCSP) • 2018
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Analysing Replay Spoofing Countermeasure Performance under Varied Conditions

2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP) • 2018

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