mlsanityData to 7 Oct 2026

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

arXiv 2412.11943 ↗First posted 16 Dec 2024cs.SD cs.AI cs.LGcited by 1

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Abstract (arXiv)

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.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 24 of its 56 references that are in the map. First posted on arXiv 16 Dec 2024.

Builds on

24 of 56 references.

References · 24

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12 more
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026How Class Ontology and Data Scale Affect Audio Transfer Learningcited by 0