这是一篇工学硕士论文，主要说关于说话人语音识别，，以支持向量机为分类器，分别以MFCC和IM-FCC为特征单独执行分类，将得到结果按某种方式融合，取两者之长，最后做出判决来提高说话人识别系统的性能。-Speaker recognition is a kind of technology that take the use of the

information contained in the speech signal to identify who is the speaker or to

confirm whether the speaker is the claimed one。Now in low-noise and low

distortion environment，speaker recognition has performed quite perfect．But noise is everywhere in the practical application environment，which make the speaker recognition rate dramatically declined．As a result,extracting the robust feature and designing the effective classifier to get a good performance in the noise environment have become a hotspot,and then realizing the speaker

recognition system come to practice from laboratory．