The hidden Markov (HMM) and speech recognition algorithm based this model were studied in the paper. In addition the model and recognition algorithm of HMM got be improved based on the traditional the HMM. In the process of modeling, through the training of multiple observe sequence to achieve the recognition of non-specific people, and according to the different number of HMM states to establish the double-template of rough and high precision, and through the second matching algorithm to achieve higher recognition rate. A speech recognition system combined MFCC parameters and HMM algorithm was constructed based improved HMM algorithm. Experimental result shown the speech recognition rate of large vocabulary of non-specific people was greatly improved. © 2011 Published by Elsevier Ltd.
Jing, Z., & Min, Z. (2011). A speech recognition system based improved algorithm of dual-template HMM. In Procedia Engineering (Vol. 15, pp. 2286–2290). https://doi.org/10.1016/j.proeng.2011.08.428