Audio Classification Notebooks
Notebooks from the introductory Pytorch tutorial series:
Audio Classification in Pytorch
Part 1 (minimal_pytorch): A tiny PyTorch project with a toy mathematical function as the dataset. Perfect if you've never touched ML /Pytorch before!
Part 2 (Audio Classification from csv): Building a model that can recognize different music genres. A straightforward introduction to Pytorch dataset class and using pandas dataframes
Part 3 (Audio Classification from spectrograms): The fun stuff! Audio processing with pictures. - Taking raw audio files, converting them to spectrograms, creating a custom dataset class and fine-tuning a pretrained network (VGG-19)
3 python notebooks, from simple to complex - A perfect introduction to machine learning with audio in pytorch. Designed to be run in Google Colab