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

Autor:	Garcia, Hugo Flores, Aguilar, Aldo, Manilow, Ethan, Vedenko, Dmitry, Pardo, Bryan
Rok vydání:	2021
Předmět:	Computer Science - Sound Computer Science - Machine Learning Electrical Engineering and Systems Science - Audio and Speech Processing
Druh dokumentu:	Working Paper
Popis:	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.
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2110.13323 Zobrazit plný text záznamu View this record from Arxiv