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

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About: GACELA -- A generative adversarial context encoder for long audio inpainting Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	GACELA -- A generative adversarial context encoder for long audio inpainting
Creator	Holighaus, Nicki Majdak, Piotr Marafioti, Andrés Perraudin, Nathanaël
source	ArXiv
abstract	We introduce GACELA, a generative adversarial network (GAN) designed to restore missing musical audio data with a duration ranging between hundreds of milliseconds to a few seconds, i.e., to perform long-gap audio inpainting. While previous work either addressed shorter gaps or relied on exemplars by copying available information from other signal parts, GACELA addresses the inpainting of long gaps in two aspects. First, it considers various time scales of audio information by relying on five parallel discriminators with increasing resolution of receptive fields. Second, it is conditioned not only on the available information surrounding the gap, i.e., the context, but also on the latent variable of the conditional GAN. This addresses the inherent multi-modality of audio inpainting at such long gaps and provides the option of user-defined inpainting. GACELA was tested in listening tests on music signals of varying complexity and gap durations ranging from 375~ms to 1500~ms. While our subjects were often able to detect the inpaintings, the severity of the artifacts decreased from unacceptable to mildly disturbing. GACELA represents a framework capable to integrate future improvements such as processing of more auditory-related features or more explicit musical features.
has issue date	2020-05-11(xsd:dateTime)
has license	arxiv
sha1sum (hex)	7ab4f130e6cff18481e5e435a9c059f745d56d87
resource representing a document's title	GACELA -- A generative adversarial context encoder for long audio inpainting
resource representing a document's body	covid:7ab4f130e6cff18481e5e435a9c059f745d56d87#body_text
is schema:about of	named entity 'listening' named entity 'GaN' named entity 'option' named entity 'This' named entity 'signals' »more»

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