Acoustic analysis and language recognition of Uygur

According to meet the need of speech recognition and speaker recognition in Hotan area,we have completed the acoustic analysis and model of Hotan dialect for the first time.At first,by choosing and annotation the sentences of Hotan dialect,we conduct the acoustic statistical analysis of vowel formant frequency,duration and intensity.Based on that,the main pattern of Hotan dialect vowels,vowels pronunciation spoken by male and female are described.Then we have built the based GMM-UBM,DNN-UBM and LSTM-UBM dialect accent recognition model respectively,which based on to compare the formant patter,of three of Uygur dialects,and find some significant differences between them.At last we compared the dialect discrimination of i-vectors between using MFCC coefficient with and without formant frequency as input feature respectively.It shows that the recognition rate using combination features is better than a single feature.