Research of Speaker Recognition Based on Combination of LPCC and MFCC

摘要：

Spearker recognition used widely in our lives is an important branch of authenticating automatically a speakers identity based on human biological feature. Linear Prediction Cepstrum Coefficient (LPCC) and Mel Frequency Cepstrum Coefficient (MFCC) are used as the features for textindependent speaker recognition in this system. And the experiments compare the recognition rate of LPCC, MFCC or the combination of LPCC and MFCC through using Vector Quantization (VQ) and Dynamic Time Warping (DTW) to recognize a speakers identity. It proves that the combination of LPCC and MFCC has a higher recognition rate.

关键词： speaker recognition LPCC MFCC VQ DTW

作者: Yuan Yujin Zhao Peihua Zhou Qun

作者单位: Electronic Information Engineering Training and Experimental Center Handan College Handan, China Department of Information Engineering Handan College Handan, China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 765-767

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）