一个可扩展的深度学习工具包，助力音频任务快速训练。
autrainer: A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks
- 基于PyTorch构建，支持低代码训练与多种神经网络
- 兼容多种预处理流程，提升不同音频任务适配性
- 适合音频研究者快速搭建实验框架
本文介绍了autrainer这一新型深度学习训练框架的核心设计原则，专为计算机听觉任务设计。autrainer是一个基于PyTorch的工具包，支持在多种计算机听觉任务上实现快速、可复现且易于扩展的训练。具体而言，它提供低代码训练模式，兼容广泛神经网络结构及预处理方法。本文概述了其内部机制与核心功能，展示了其在音频任务中的通用性与灵活性。
原文摘要 · Abstract (English)
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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