MFCC Extraction Based on F-Ratio and correlated distance criterion in speaker Recognition
In order to improve the speaker recognition accuracy, a new mel-frequency cepstral coefficient (MFCC) parameters extraction criterion based on F-Ratio and correlated distance criterion is proposed. Take the correlation of the characteristics into account, F-Ratio and correlated distance criterion (FRCDC) is proposed, which provides an idea about the significance of each component for MFCC feature. Two methods based on this criterion to extract MFCC parameters are given: dimensionality reduced according to the FRCDC value, improving the MFCCs discrimination by using a new bandpass liftering window. Experimental results based on two languages voice database show that the recognition rate adopting proposed dimensionality reduced method is improved by 10-15％ than that of method without dimensionality reduced. The recognition rate using the new liftering process is improved by 20-25％ than that without the liftering and 10- 20％ than conventional methods.
speaker recognition MFCC extraction F-Ratio and correlated distance criterion liftering
ZHU Jian-wei SUN Shui-fa DAN Zhi-ping LEI Bang-jun
College of Elec. Engineering and Info. Technology China Three Gorges University Yichang,China College of Elec. Engineering and Info. Technology, China Three Gorges University Yichang,China Insti
国际会议
武汉
英文
329-333
2009-11-18（万方平台首次上网日期，不代表论文的发表时间）