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arXiv · 2412.11943

autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks

Simon Rampp·Andreas Triantafyllopoulos·Manuel Milling·Björn W. Schuller
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Abstract

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.

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Simon Rampp, Andreas Triantafyllopoulos, Manuel Milling, Björn W. Schuller. 2024-12-16. autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks. https://arxiv.org/abs/2412.11943

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