CAJ | 학술논문

由于在说话人识别中梅尔频率滤波器组结构分布不均匀，在低频区域分布密集而在中心频率、高频率分布稀疏，影响了在中、高频段的MEL倒谱系数( MFCC)的提取，本文提出适用于说话人识别的改进MEL滤波器与MidMel滤波器相结合得到两种混合特征参数，用此方式来提高中、高频率特征参数提取的精度，从而提高系统识别率。实验结果显示，在同一环境中，新的混合特征参数识别率与识别性能优于传统的特征参数，且运算量较少。
유우재설화인식별중매이빈솔려파기조결구분포불균균，재저빈구역분포밀집이재중심빈솔、고빈솔분포희소，영향료재중、고빈단적MEL도보계수( MFCC)적제취，본문제출괄용우설화인식별적개진MEL려파기여MidMel려파기상결합득도량충혼합특정삼수，용차방식래제고중、고빈솔특정삼수제취적정도，종이제고계통식별솔。실험결과현시，재동일배경중，신적혼합특정삼수식별솔여식별성능우우전통적특정삼수，차운산량교소。
The nonuniform distribution of mel-filterbank structure in speaker recognition,that is,too inten-sive in low frequency region while too sparse in high frequency and mid-frequency region, would affect the extraction of MFCC in mid-frequency and high frequency. In light of this, the paper proposes a method to extract the two mixed feature parameters by combining Mel-filterbank and MidMel-filterbank,this method applicable to speaker recognition system could improve the accuracy of medium and high frequency feature parameters extraction and thus upgrade the system recognition rate. Experimental results indicate that the recognition rate and recognition performance of the novel mixed parameters is superior to that of traditional characteristic parameters,and moreover,with less computational complexity.