Mixed Parameter Method Based on MFCC and Fractal Dimension for Speech Recognition

摘要：

We propose a speech recognition approach with mixed parameter in this paper, which combines the traditional MFCC and fractal feature as the feature parameter. MFCC has higher spectrum resolution at low frequency segment, while it cannot represent speech nonlinearity. Fractal dimension is used to quantitatively describe the chaos nonlinearity in speech air flow. Experimental results demonstrate this method is promising in improving speech recognition performance.

关键词： Speech Recognition,MFCC Fractal Dimension.

作者: Minghai Yao Jing Hu Qinlong Gu

作者单位: College of Information Engineering Zhejiang University of Technology, Hangzhou, 310032, China

会议类型: 国际会议

会议名称: 2006 IEEE International Conference on Information Acquisition

会议地点: 山东威海

会议语种:英文

页码: 1144-1146

在线出版日期: 2006-08-20（万方平台首次上网日期，不代表论文的发表时间）