Title :
A domestic speech recognition based on Hidden Markov Model
Author :
Tao, Jun ; Jiang, Xiaoxiao
Author_Institution :
Dept. of Comput. Sci., Univ. of Minnesota, Twin Cities, MN, USA
Abstract :
Based on HMM (Hidden Markov Model), this paper proposed a domestic speech recognizer, which can be used at home to do some simple tasks, such as turning on/off the light, opening/closing the doors and turning up/down air conditioners´ temperature according to voice commands. Compared to traditional speech recognizers, it achieves a high recognition rate and low computational cost, which are important for the domestic application.
Keywords :
hidden Markov models; speech recognition; HMM; domestic speech recognition; hidden Markov model; high recognition rate; low computational cost; voice commands; Band pass filters; Finite impulse response filter; Hidden Markov models; Maximum likelihood detection; Mel frequency cepstral coefficient; Speech; Speech recognition; HMM; MFCC; speech recognition;
Conference_Titel :
Cloud Computing and Intelligence Systems (CCIS), 2011 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-61284-203-5
DOI :
10.1109/CCIS.2011.6045141
