We start introducing openSMILE by addressing two important questions for users who are new to openSMILE : What is openSMILE ? and Who needs openSMILE ?. If you want to start using openSMILE right away, then you should start reading section 2, or sec
文档包括两个分别是OpenSmile官方英文文档，另外一个是语音特征提取的原理及计算方法。
文档一名称：openSMILE-book-latest，文档二名称：Real-time Speech and Music Classification by Large Audio Feature Space Extraction
OpenEAR is a widely used open-source emotion recognition tool built on OpenSMILE. Support Vector Machine (SVM) is used for emotion classification. The best accuracy for 10-fold stratified cross-validation that can be achieved is 89.5% on EMO-DB.
