no code implementations • 27 Feb 2024 • Alexandre Defossez, Samuel Alleaume, Marc Montadert, Dino Ienco, Sandra Luque
Indeed, the extraction of variables from remote sensing helped to describe the area studied at appropriate spatial and temporal scales: horizontal and vertical structure (heterogeneity), functioning (vegetation indices), phenology (seasonal or inter-annual dynamics) and biodiversity.
1 code implementation • NeurIPS 2023 • Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis Conneau, Felix Kreuk, Jade Copet, Alexandre Defossez, Gabriel Synnaeve, Emmanuel Dupoux, Roy Schwartz, Yossi Adi
In this work, we propose TWIST, a method for training SpeechLMs using a warm-start from a pretrained textual language models.
no code implementations • 30 Jun 2022 • Dejan Markovic, Alexandre Defossez, Alexander Richard
We present a single-stage casual waveform-to-waveform multichannel model that can separate moving sound sources based on their broad spatial locations in a dynamic acoustic scene.
1 code implementation • 3 Mar 2021 • Omar Chehab, Alexandre Defossez, Jean-Christophe Loiseau, Alexandre Gramfort, Jean-Remi King
Understanding how the brain responds to sensory inputs is challenging: brain recordings are partial, noisy, and high dimensional; they vary across sessions and subjects and they capture highly nonlinear dynamics.
3 code implementations • 23 Jun 2020 • Alexandre Defossez, Gabriel Synnaeve, Yossi Adi
The proposed model matches state-of-the-art performance of both causal and non causal methods while working directly on the raw waveform.