Phoneme Specific Modelling and Scoring Techniques for Anti Spoofing System
Gajan Suthokumar, Kaavya Sriskandaraja, Vidhyasaharan Sethu, Chamith Wijenayake, Eliathamby Ambikairajah
Abstract
Replay attack refers to the use of recorded speech in an attempt to spoof an automatic speaker verification system and the development of countermeasures that can detect these attacks is an active area of research. This paper investigates the effect of phoneme specific information on replay attack detection. It then develops a replay detection system that employs phoneme specific genuine and spoof models and compares novel scoring methods that take into account phonetic information obtained from a suitable phoneme recogniser. Experiment result on the ASVSpoof 2017 V2.0 corpus indicated that replayed speech may be easier to detect from speech corresponding to some phonemes compared to others and consequently judicious use of phoneme specific models can improve replay detection systems.
BibTeX
@inproceedings{icassp2019_phonemespecificm,
title = {Phoneme Specific Modelling and Scoring Techniques for Anti Spoofing System},
author = {Gajan Suthokumar and Kaavya Sriskandaraja and Vidhyasaharan Sethu and Chamith Wijenayake and Eliathamby Ambikairajah},
booktitle = {ICASSP 2019},
year = {2019}
}