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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 ...
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08/14/2023
The Sound Demixing Challenge 2023 x2013 Music Demixing Track
This paper summarizes the music demixing (MDX) track of the Sound Demixi...
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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...
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06/08/2023
Simple and Controllable Music Generation
We tackle the task of conditional music generation. We introduce MusicGe...
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05/22/2023
Textually Pretrained Speech Language Models
Speech language models (SpeechLMs) process and generate acoustic data on...
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11/15/2022
Hybrid Transformers for Music Source Separation
A natural question arising in Music Source Separation (MSS) is whether l...
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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 ...
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10/24/2022
High Fidelity Neural Audio Compression
We introduce a state-of-the-art real-time, high-fidelity, audio codec le...
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08/25/2022
Decoding speech from non-invasive brain recordings
Decoding language from brain activity is a long-awaited goal in both hea...
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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...
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11/05/2021
Hybrid Spectrogram and Waveform Source Separation
Source separation models either work on the spectrogram or waveform doma...
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04/20/2021
Differentiable Model Compression via Pseudo Quantization Noise
We propose to add independent pseudo quantization noise to model paramet...
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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...
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06/23/2020
Real Time Speech Enhancement in the Waveform Domain
We present a causal speech enhancement model working on the raw waveform...
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03/05/2020
On the Convergence of Adam and Adagrad
We provide a simple proof of the convergence of the optimization algorit...
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11/27/2019
Music Source Separation in the Waveform Domain
Source separation for music is the task of isolating contributions, or s...
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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 ...
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10/23/2018
SING: Symbol-to-Instrument Neural Generator
Recent progress in deep learning for audio synthesis opens the way to mo...
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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...
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11/29/2014