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GML_AdaBoost_Matlab_Toolbox_0.3
- adaboost是语音识别分类器设计的最好方法,目前在识别分类方面进行了应用-AdaBoost is a voice recognition classifier design the best way, the current classification in identifying aspects of the application
pattenrecongition
- 通过用最小距离分类判别方法,用MATLAB程序找出最小距离分类判别时的识别界面,从而进行识别已知的两类训练样本,并分析其识别错误率。-By using minimum distance classifier discriminant method, using MATLAB program to find the minimum distance classifier recognition interface when the judge, which is known to identify
mfccPSVM
- 本实例程序是基于matlab的语音识别程序,通过提取传统的MFCC特征集,采用当前流行的SVM分类器,作为对比实验是一个不错的选择。-This example program is popular SVM classifier matlab speech recognition program to extract MFCC feature set, as a comparative experiment is a good choice.
MFCCPHMM
- 本实例程序是基于matlab的语音识别程序,通过提取传统的MFCC特征集,采用HMM分类器,作为对比实验是一个不错的选择。-This example the program matlab speech recognition program to extract MFCC feature set, the HMM classifier, as a comparative experiment is a good choice.