GACELA -- A generative adversarial context encoder for long audio inpainting

descriptionPublicationkeyboard_double_arrow_right Preprint , Article 01 Jan 2020Embargo end date: 01 Jan 2020Publisher:ZenodoJournal:CoRR, volume abs/2005.05032

Authors: Andrés Marafioti; Piotr Majdak; Nicki Holighaus; Nathanaël Perraudin;

doi: 10.5281/zenodo.3897143 , 10.5281/zenodo.3897144 , 10.48550/arxiv.2005.05032

arXiv: 2005.05032

GACELA -- A generative adversarial context encoder for long audio inpainting

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Abstract

Pre-trained models for nets used on listening tests for "GACELA -- A generative adversarial context encoder for long audio inpainting" Arxiv: https://arxiv.org/abs/2005.05032 Github: https://github.com/andimarafioti/GACELA

Related Organizations

ETH Zurich
Switzerland
Austrian Academy of Sciences
Austria
École Polytechnique Fédérale de Lausanne EPFL
Switzerland
Acoustics Research Institute
Austria
Swiss Data Science Center
Switzerland

Keywords

FOS: Computer and information sciences, Sound (cs.SD), Statistics - Machine Learning, Audio and Speech Processing (eess.AS), FOS: Electrical engineering, electronic engineering, information engineering, GACELA, audio, generation, time-frequency, spectrogram, Machine Learning (stat.ML), Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing

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