Robust Speaker Recognition against Synthetic Speech
Chen Lian · 2011
With the development of the hidden markov model(HMM) based speech synthesis technology,it is easy for impostors to produce synthetic speech with the specific speaker's characteristics,which becomes an enormous threat to the existing speaker recognition system.In this paper,the difference between natural speech and synthetic speech is investigated on the real part of cepstrum.And a speaker recognition system is proposed which is robust against synthetic speech.Experimental results demonstrate that the false accept rate(FAR) for synthetic speech is zero in the proposed system,while that of the existing speaker recognition system is 99.2% with the equal error rate(EER) for natural speech unchanged.