Research on the HMM-UBM and Short Text Based Speaker Verification

In this paper,a simple and effective threshold-setting method for text-dependent speaker verification is proposed.The Gaussian mixture model(GMM)is also used as the background model to simulate the speech of unpredicted impostors and outperforms the conventional HMM(hidden Markov model)background model in the case of diversified pseudo text.Based on these two technologies,aremote text-dependent speaker verification system over Internet is proposed.This system is evaluated in both experimental and real condition and shows satisfied verification performance.