  In this paper, second-order hidden Markov model (HMM2) has been used and
implemented to improve the recognition performance of text-dependent speaker
identification systems under neutral talking condition. Our results show that
HMM2 improves the recognition performance under neutral talking condition
compared to the first-order hidden Markov model (HMM1). The recognition
performance has been improved by 9%.
