DocumentCode :
2282869
Title :
Speech Recognition System Using a Wavelet Packet and Synergetic Neural Network
Author :
Bai Maorui ; Feng Mingming ; Zheng Yuzheng
Author_Institution :
Dept. of Commun. Eng., Chengdu Univ. of Inf. Technol., Chengdu, China
Volume :
3
fYear :
2010
fDate :
13-14 March 2010
Firstpage :
453
Lastpage :
456
Abstract :
A recognition system is proposed, for audio and speech signal processing, which based on a Wavelet Packet (WP) and Synergetic Neural Network (SNN). Firstly, in the step of features extraction, the Mel-frequency cepstral coefficients (MFCC) algorithm is developed by using WP instead of FT. Secondly, we make use of SNN to pattern recognition. Due to the Kohonen rule,the SNN can be combined with improved MFCC very well in the system. Finally, the experiment results show that the speech recognition system has higher recognition rate and potential advantages in automatic speech recognition.
Keywords :
feature extraction; neural nets; speech recognition; Mel-frequency cepstral coefficients; audio signal processing; feature extraction; speech recognition system; speech signal processing; synergetic neural network; wavelet packet; Automatic speech recognition; Cepstral analysis; Feature extraction; Mel frequency cepstral coefficient; Neural networks; Pattern recognition; Signal processing algorithms; Speech processing; Speech recognition; Wavelet packets; Kohonen rule; MFCC; Speech Recognition System; Synergetic Neural Network; Wavelet Packet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
Type :
conf
DOI :
10.1109/ICMTMA.2010.572
Filename :
5458884
Link To Document :
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