1. Acharya, R., Patil, H.A., Kotta, H., 2019. Novel enhanced teager energy based cepstral coefficients for replay spoof detection. In: IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Singapore, pp. 342–349.
2. Alegre, F., Janicki, A., Evans, N., 2014. Re-assessing the threat of replay spoofing attacks against automatic speaker verification. In: International Conference of the Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, pp. 1–6.
3. Alluri, K.R., Vuppala, A.K., 2019. IIIT-H spoofing countermeasures for automatic speaker verification spoofing and countermeasures challenge 2019. In: INTERSPEECH, Graz, Austria, pp. 1043–1047.
4. Pattern Recognition and Machine Learning;Bishop,2006
5. The bosaris toolkit: Theory, algorithms and code for surviving the new dcf;Brümmer,2013