The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

Understanding emotions from audio files using neural networks and multiple datasets.

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Audio feature extraction and classification

Classification - Machine Learning This is ‘Classification’ tutorial which is a part of the Machine Learning course offered by Simplilearn. We will learn Classification algorithms, types of classifi…

Machine Learning in NeuroImaging (MALINI) is a MATLAB-based toolbox used for feature extraction and disease classification using resting state functional magnetic resonance imaging (rs-fMRI) data. …

ESC-50: Dataset for Environmental Sound Classification

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Code for YouTube series: Deep Learning for Audio Classification