Masked Audio Generation using a Single Non-Autoregressive Transformer

research work·research paper·active

Research work examining audio generation, text-to-audio generation.

Verified facts

Official sitehttps://arxiv.org/abs/2401.04577
GeographyGlobal
arxiv2401.04577
venuearXiv preprint
authorsAlon Ziv; Itai Gat; Gael Le Lan; Tal Remez; Felix Kreuk; Alexandre Défossez; Jade Copet; Gabriel Synnaeve; Yossi Adi
methodstransformer architecture
code urlsunknown
demo urlsunknown
exact titleMasked Audio Generation using a Single Non-Autoregressive Transformer
project urlshttps://pages.cs.huji.ac.il/adiyoss-lab/MAGNeT
original titleunknown
citation countsunknown
research topicsaudio generation; text-to-audio generation; text-to-music generation
peer review statusnot established from abstract metadata
disclosed conflictsunknown
stated contributionPresents or evaluates the system, method, benchmark, or analysis identified in the paper title.
us market scope basisIncluded as a materially relevant public research artifact in the US-facing AI-music ecosystem; direct affiliation varies.
funding acknowledgementsunknown
affiliations at publicationMeta AI Research
publication or preprint date2024-01-09
abstract level neutral summaryThe work studies audio generation, text-to-audio generation; methods and evaluation details are in the official abstract.
datasets benchmarks models tools usedunknown
correction withdrawal retraction statusNo withdrawal marker observed in captured arXiv metadata.

Current

affiliated withMeta 2024-01-09now
introducesMAGNeT Small 10s 2024-01-09now
introducesMAGNeT Medium 10s 2024-01-09now
introducesMAGNeT Small 30s 2024-01-09now
introducesMAGNeT Medium 30s 2024-01-09now

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