Title :
An efficient MFCC extraction method in speech recognition
Author :
Han, Wei ; Chan, Cheong-Fat ; Choy, Chiu-Sing ; Pun, Kong-Pang
Author_Institution :
Dept. of Electron. Eng., Chinese Univ. of Hong Kong
Abstract :
This paper introduces a new algorithm of extracting MFCC for speech recognition. The new algorithm reduces the computation power by 53% compared to the conventional algorithm. Simulation results indicate the new algorithm has a recognition accuracy of 92.93%. There is only a 1.5% reduction in recognition accuracy compared to the conventional MFCC extraction algorithm, which has an accuracy of 94.43%. However, the number of logic gates required to implement the new algorithm is about half of the MFCC algorithm, which makes the new algorithm very efficient for hardware implementation
Keywords :
cepstral analysis; logic gates; speech recognition; MFCC extraction algorithm; MFCC extraction method; Mel-frequency cepstrum coefficients; logic gates; speech recognition; Cepstrum; Computational modeling; Filter bank; Hardware; Logic gates; Mel frequency cepstral coefficient; Power engineering and energy; Power engineering computing; Power filters; Speech recognition;
Conference_Titel :
Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
Conference_Location :
Island of Kos
Print_ISBN :
0-7803-9389-9
DOI :
10.1109/ISCAS.2006.1692543
