1.目前最好的识别率为59%，C=10，MFCC特征个数为48
2.已实现置信概率的计算，等待绘图的接口
3.训练模型请使用train.py，或者直接导入已训练好的模型classfier.m
4.可以在realTimeAnalysis.py中对自己的录音进行实时情感分析
5.读入多个音频文件并进行分析，请直接运行testEmotion.py，会播放音频文件并在雷达图中展示其结果
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