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 MFCC´s 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.