ML Batch Processing#

Learn how to use TorchFX for batch processing audio data in machine learning pipelines.

Overview#

This tutorial covers:

  • Loading and preprocessing audio datasets

  • Applying effects and filters in batch mode

  • GPU acceleration for large-scale processing

  • Integration with PyTorch DataLoaders

Prerequisites#

  • Basic Python knowledge

  • Familiarity with PyTorch

  • Understanding of audio signal processing basics

Tutorial Content#

Todo

Coming soon! This tutorial is currently under development.

What You’ll Learn#

  • How to efficiently process large audio datasets

  • Best practices for batch audio augmentation

  • Memory management techniques for GPU processing

  • Creating custom preprocessing pipelines

Example Code#

import torch
from torchfx import Wave, FX
from torchfx.filter import LoButterworth

# Example code will be added here

Next Steps#

After completing this tutorial, you may want to explore: