I read some new papers and research about different modeling algorithms and started to worry about the accuracy on my system. The accuracy is not only rely on the modeling but also based on the dataset for training and the quality of acoustic input (the speaking environment). But selecting a suitable modeling algorithm is important. Now the popular models are: HMM, VQ, DTW, GMM, UBM, i-Vector. I temporarily chose hybrid GMM-UBM. I might change in the future or mix other modeling to enhance the accuracy. My goal is to reach an accuracy at least 90%.