IIIT-H Spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019

K.N.R.K. Raju Alluri, Anil Kumar Vuppala


The ASVspoof 2019 challenge focuses on countermeasures for all major spoofing attacks, namely speech synthesis (SS), voice conversion (VC), and replay spoofing attacks. This paper describes the IIIT-H spoofing countermeasures developed for ASVspoof 2019 challenge. In this study, three instantaneous cepstral features namely, single frequency cepstral coefficients, zero time windowing cepstral coefficients, and instantaneous frequency cepstral coefficients are used as front-end features. A Gaussian mixture model is used as back-end classifier. The experimental results on ASVspoof 2019 dataset reveal that the proposed instantaneous features are efficient in detecting VC and SS based attacks. In detecting replay attacks, proposed features are comparable with baseline systems. Further analysis is carried out using metadata to assess the impact of proposed countermeasures on different synthetic speech generating algorithm/replay configurations.


 DOI: 10.21437/Interspeech.2019-1623

Cite as: Alluri, K.R., Vuppala, A.K. (2019) IIIT-H Spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019. Proc. Interspeech 2019, 1043-1047, DOI: 10.21437/Interspeech.2019-1623.


@inproceedings{Alluri2019,
  author={K.N.R.K. Raju Alluri and Anil Kumar Vuppala},
  title={{IIIT-H Spoofing Countermeasures for Automatic Speaker Verification Spoofing and Countermeasures Challenge 2019}},
  year=2019,
  booktitle={Proc. Interspeech 2019},
  pages={1043--1047},
  doi={10.21437/Interspeech.2019-1623},
  url={http://dx.doi.org/10.21437/Interspeech.2019-1623}
}