Alexandre Défossez | DeepAI

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∙ 08/24/2023

Code Llama: Open Foundation Models for Code

We release Code Llama, a family of large language models for code based ...

0 Baptiste Roziere, et al. ∙

∙ 08/14/2023

The Sound Demixing Challenge 2023 x2013 Music Demixing Track

This paper summarizes the music demixing (MDX) track of the Sound Demixi...

0 Giorgio Fabbro, et al. ∙

∙ 08/02/2023

From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion

Deep generative models can generate high-fidelity audio conditioned on v...

0 Robin San-Roman, et al. ∙

∙ 06/08/2023

Simple and Controllable Music Generation

We tackle the task of conditional music generation. We introduce MusicGe...

0 Jade Copet, et al. ∙

∙ 05/22/2023

Textually Pretrained Speech Language Models

Speech language models (SpeechLMs) process and generate acoustic data on...

0 Michael Hassid, et al. ∙

∙ 11/15/2022

Hybrid Transformers for Music Source Separation

A natural question arising in Music Source Separation (MSS) is whether l...

0 Simon Rouard, et al. ∙

∙ 11/02/2022

Audio Language Modeling using Perceptually-Guided Discrete Representations

In this work, we study the task of Audio Language Modeling, in which we ...

0 Felix Kreuk, et al. ∙

∙ 10/24/2022

High Fidelity Neural Audio Compression

We introduce a state-of-the-art real-time, high-fidelity, audio codec le...

0 Alexandre Défossez, et al. ∙

∙ 08/25/2022

Decoding speech from non-invasive brain recordings

Decoding language from brain activity is a long-awaited goal in both hea...

0 Alexandre Défossez, et al. ∙

∙ 06/30/2022

Implicit Neural Spatial Filtering for Multichannel Source Separation in the Waveform Domain

We present a single-stage casual waveform-to-waveform multichannel model...

0 Dejan Markovic, et al. ∙

∙ 11/05/2021

Hybrid Spectrogram and Waveform Source Separation

Source separation models either work on the spectrogram or waveform doma...

0 Alexandre Défossez, et al. ∙

∙ 04/20/2021

Differentiable Model Compression via Pseudo Quantization Noise

We propose to add independent pseudo quantization noise to model paramet...

0 Alexandre Défossez, et al. ∙

∙ 03/03/2021

Deep Recurrent Encoder: A scalable end-to-end network to model brain signals

Understanding how the brain responds to sensory inputs is challenging: b...

0 Omar Chehab, et al. ∙

∙ 06/23/2020

Real Time Speech Enhancement in the Waveform Domain

We present a causal speech enhancement model working on the raw waveform...

0 Alexandre Défossez, et al. ∙

∙ 03/05/2020

On the Convergence of Adam and Adagrad

We provide a simple proof of the convergence of the optimization algorit...

19 Alexandre Défossez, et al. ∙

∙ 11/27/2019

Music Source Separation in the Waveform Domain

Source separation for music is the task of isolating contributions, or s...

0 Alexandre Défossez, et al. ∙

∙ 09/03/2019

Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed

We study the problem of source separation for music using deep learning ...

5 Alexandre Défossez, et al. ∙

∙ 10/23/2018

SING: Symbol-to-Instrument Neural Generator

Recent progress in deep learning for audio synthesis opens the way to mo...

0 Alexandre Défossez, et al. ∙

∙ 11/06/2017

AdaBatch: Efficient Gradient Aggregation Rules for Sequential and Parallel Stochastic Gradient Methods

We study a new aggregation operator for gradients coming from a mini-bat...

0 Alexandre Défossez, et al. ∙

∙ 11/29/2014

Constant Step Size Least-Mean-Square: Bias-Variance Trade-offs and Optimal Sampling Distributions

We consider the least-squares regression problem and provide a detailed ...

0 Alexandre Défossez, et al. ∙

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