This work introduces the key operating principles for autrainer, our new deep learning training framework for computer audition tasks. autrainer is a PyTorch-based toolkit that allows for rapid, reproducible, and easily extensible training on a variety of different computer audition tasks. Concretely, autrainer offers low-code training and supports a wide range of neural networks as well as preprocessing routines. In this work, we present an overview of its inner workings and key capabilities.
View on arXiv@article{rampp2025_2412.11943,
title={ autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks },
author={ Simon Rampp and Andreas Triantafyllopoulos and Manuel Milling and Björn W. Schuller },
journal={arXiv preprint arXiv:2412.11943},
year={ 2025 }
}