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

• URL: http://arxiv.org/abs/2412.11943v2
• Date: Thu, 10 Apr 2025 13:51:44 GMT
• Title: autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks
• Authors: Simon Rampp, Andreas Triantafyllopoulos, Manuel Milling, Björn W. Schuller,
• Abstract summary: autrainer is a PyTorch-based toolkit for computer training on audition tasks.<n>We present an overview of its inner workings and key capabilities.
• Score: 42.4526628515253
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• 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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