Speech Recognition System Using a Wavelet Packet and Synergetic Neural Network

摘要：

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-frequeacy 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.

关键词： Speech Recognition System MFCC Wavelet Packet Synergetic Neural Network Kohonen rule

作者: Bai Maorui Feng Mingming Zheng Yuzheng

作者单位: Department of Communication Engineering, Chengdu University of Information Technology, Chengdu 610225, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 2707-2710

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）