Created on Fri Mar 10 22:38:46 2022
@author: Wanyong Qiu (Executable files)
Coding is not easy, please cite the following papers if they are helpful to your learning or writing.
编码不易,如对您的学习和写作有帮助,请添加引用!BHE小伙伴请勿随意共享,paper请找本人合著,感谢!
openSmile-single_wav_LLD.py
该程序用于处理单个音频.wav数据(通过执行命令)。单个音频文件LLD特征提取
openSmile-multi_LLD.py
该程序用于处理多音频.wav数据(通过执行命令)。多音频文件LLD特征提取
openSmile-single_batch.py
该程序用于处理单个文件夹下的.wav数据(通过执行命令)。具体适用于某一种类型的语音来进行特征提取
openSmile-multiple_batch.py
该程序用于处理多个文件夹下的.wav数据,会合并多数据集共同提取特征(通过执行命令)。具体适用于多种不同类型的语音来共同进行特征提取
openSmile_available.py
该程序用于处理单个数据集的音频并进行特征提取(通过调用opensmile包)。生成算法可执行的数据格式(行:样本;列:特征),注意:需手动添加 label
openSmile_extract-class.py
该程序对多文件夹下的wav数据进行批量处理(通过执行命令),并按文件夹名分别输出多个.csv文件。
This program files uses heart sound recordings from PhysioNet/CinC challenge. Classification of Heart Sound Recordings.
openSMILE is a versatile and fast open-source toolkit for signal processing and machine learning applications.
Note: this is the internal repository of openSMILE that includes proprietary, non-public components. You can find the open-source repository and official releases on GitHub.
See also the standalone opensmile Python package for an easy-to-use wrapper if you are working in Python.
You can find extensive documentation with step-by-step instructions on how to build openSMILE and get started at https://audeering.github.io/opensmile/index.html#
For more details on how to customize builds, build for other platforms and use openSMILE, see Section Get started in the documentation.