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20212023
most citedHigh Fidelity Neural Audio Compression

280 citations · 725 across the 9 of their papers we have counts for

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Showing 2022Show all

5 papers · 1 filter

eess.AS2022★ 5 cited

Hybrid Transformers for Music Source Separation

Simon Rouard, Francisco Massa, Alexandre Défossez

A natural question arising in Music Source Separation (MSS) is whether long range contextual information is useful, or whether local acoustic features are sufficient. In other fiel…

cs.SD2022★ 1 cited

Audio Language Modeling using Perceptually-Guided Discrete Representations

Felix Kreuk, Yaniv Taigman, Adam Polyak +4

In this work, we study the task of Audio Language Modeling, in which we aim at learning probabilistic models for audio that can be used for generation and completion. We use a stat…

eess.AS2022★ 280 cited

High Fidelity Neural Audio Compression

Alexandre Défossez, Jade Copet, Gabriel Synnaeve +1

We introduce a state-of-the-art real-time, high-fidelity, audio codec leveraging neural networks. It consists in a streaming encoder-decoder architecture with quantized latent spac…

cs.SD2022★ 55 cited

AudioGen: Textually Guided Audio Generation

Felix Kreuk, Gabriel Synnaeve, Adam Polyak +6

We tackle the problem of generating audio samples conditioned on descriptive text captions. In this work, we propose AaudioGen, an auto-regressive generative model that generates a…

eess.AS2022★ 218 cited

Decoding speech perception from non-invasive brain recordings

Alexandre Défossez, Charlotte Caucheteux, Jérémy Rapin +2

Decoding speech from brain activity is a long-awaited goal in both healthcare and neuroscience. Invasive devices have recently led to major milestones in that regard: deep learning…