文件名称:MFCC-and-SVM
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- 图形图像处理(光照,映射..)
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- 2012-11-26
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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.
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.
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基于MFCC和SVM的说话人性别识别.pdf