AffectNet_preprocess AffectNet数据集的预处理代码

大数据与数据挖掘

语言信号处理好麻烦，github上好多ASR项目，Windows系统都运行不了，还要安装kalid，好麻烦，还好pytorch有自带的语音处理库，处理好的数据可以直接加载到pytorch模型。具体解释参考这篇博客：https://blog.csdn.net/kuan__/article/details/115477856

preprocess.zip

The data signal obtained by using the near-infrared spectroscopy detector includes the information of the component to be tested, including the noise of various instruments, such as high-frequency random noise, baseline drift, spurious information, background of the sample.Therefore, before data analysis, the specific signal measurement and sample system should be processed reasonably, and the influence of various non-target factors on the detection signal information should be weakened or even eliminated, which lays a foundation for establishing a stable and reliable mathematical model. Commonly used data preprocessing methods include data normalization processing (mean centering, normalization, standard normal transformation, etc.), high frequency noise filtering (convolution smoothing, Fourier transform, wavelet transform, etc.), differential derivation of signals, and Baseline correction, etc.