Text-dependent speaker recognition for vietnamese

This paper presents a new method for Vietnamese text-dependent speaker recognition. The system is modeled for each speaker using mixture model Gaussian GMM (Gaussian Mixture Model). The phonemes in the keywords are represented by hidden Markov models HMM. The prior and posterior probabilities for keywords and speakers have been combined together to identify speakers. The results showed that in the case the speaker did not say a long enough phrase, this approach has increased performance of speaker identification.