建立了普通话语音性别数据库,提出联合梅尔频率频谱系数(Mel2f requency Cep st rum

Coefficient s , MFCC) 的特征提取方法和支持向量机(Support Vector Machine , SVM) 的分类方法进行说话人性别识别,并与其它分类方法进行比较。-A Chinese speech ( mandarin ) database was established for speaker s gender recognition. A

combination met hod is p roposed for gender recognition of speaker s based on support vector machine and

Mel2f requency cep st rum coefficient s (MFCC) for classification and feat ure ext raction respectively.