Deep Learning Tools for Audacity: Helping Researchers Expand the Artist's Toolkit

TL;DR

This paper introduces a software framework that seamlessly integrates neural networks into Audacity, enabling researchers and users to enhance audio editing with deep learning tools and fostering greater interactivity.

Contribution

It provides a minimal-effort integration framework for neural networks into Audacity, facilitating use by both end-users and developers, and encouraging collaboration between deep learning practitioners and audio editors.

Findings

Successful integration of neural networks into Audacity

Demonstrated use cases for end-users and developers

Enhanced interactivity in audio editing with deep learning

Abstract

We present a software framework that integrates neural networks into the popular open-source audio editing software, Audacity, with a minimal amount of developer effort. In this paper, we showcase some example use cases for both end-users and neural network developers. We hope that this work fosters a new level of interactivity between deep learning practitioners and end-users.