Chinese speaker recognition based on ARMA model

According to the properties of speaker's fixed nasal cavity,stable pharynx cavity and a few Chinese nasal initials,A text-independellt Chinese speaker recognition system is presented.By using ARMA model we have gotten the spectrum parameters of all Chinese nasal initials.The correct recognition rate (CRR) for 20 speakers are as follows:The CCR is 87.92% for each speaker in the test with all initials;when random choosing of 2,3,4 and 5 initials in each speaker's utterance and then averaging thier spectrum to test individual template,the average CRRs are 91.67%,95.00%,96.67% and 99.97%,respectively.