Development of CRIM system for the automatic speaker verification spoofing and countermeasures challenge 2015

@inproceedings{Alam2015DevelopmentOC,
  title={Development of CRIM system for the automatic speaker verification spoofing and countermeasures challenge 2015},
  author={Md. Jahangir Alam and Patrick Kenny and Gautam Bhattacharya and Themos Stafylakis},
  booktitle={INTERSPEECH},
  year={2015}
}
The automatic speaker verification spoofing and countermeasures challenge 2015 provides a common framework for the evaluation of spoofing countermeasures or anti-spoofing techniques in the presence of various seen and unseen spoofing attacks. This contribution proposes a system consisting of amplitude, phase, linear prediction residual, and combined amplitude phase-based countermeasures for the detection of spoofing attacks. In this task we use following features: Mel-frequency cepstral… CONTINUE READING
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Key Quantitative Results

  • Experimental results on the challenge evaluation data provided an average EER (equal error rate) of 0.041%, 5.347%, and 2.69% on the known, unknown and all (known + unknown) spoofing attacks, respectively.
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A study on replay attack and anti-spoofing for text-dependent speaker verification

  • Z. Wu, S. Gao, E. S. Chng, H. Li
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