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pro vyhledávání: '"A, Caillon"'
This paper investigates the limitations of transformers for entity-tracking tasks in large language models. We identify a theoretical constraint, showing that transformers require at least $\log_2 (n+1)$ layers to handle entity tracking with $n$ stat
Externí odkaz:
http://arxiv.org/abs/2410.05565
Autor:
Shikarpur, Nithya, Dendukuri, Krishna Maneesha, Wu, Yusong, Caillon, Antoine, Huang, Cheng-Zhi Anna
Hindustani music is a performance-driven oral tradition that exhibits the rendition of rich melodic patterns. In this paper, we focus on generative modeling of singers' vocal melodies extracted from audio recordings, as the voice is musically promine
Externí odkaz:
http://arxiv.org/abs/2408.12658
Autor:
Donahue, Chris, Caillon, Antoine, Roberts, Adam, Manilow, Ethan, Esling, Philippe, Agostinelli, Andrea, Verzetti, Mauro, Simon, Ian, Pietquin, Olivier, Zeghidour, Neil, Engel, Jesse
We present SingSong, a system that generates instrumental music to accompany input vocals, potentially offering musicians and non-musicians alike an intuitive new way to create music featuring their own voice. To accomplish this, we build on recent d
Externí odkaz:
http://arxiv.org/abs/2301.12662
Autor:
Agostinelli, Andrea, Denk, Timo I., Borsos, Zalán, Engel, Jesse, Verzetti, Mauro, Caillon, Antoine, Huang, Qingqing, Jansen, Aren, Roberts, Adam, Tagliasacchi, Marco, Sharifi, Matt, Zeghidour, Neil, Frank, Christian
We introduce MusicLM, a model generating high-fidelity music from text descriptions such as "a calming violin melody backed by a distorted guitar riff". MusicLM casts the process of conditional music generation as a hierarchical sequence-to-sequence
Externí odkaz:
http://arxiv.org/abs/2301.11325
Autor:
Andrew F. Rowley, Craig Baker-Austin, Annette S. Boerlage, Coline Caillon, Charlotte E. Davies, Léo Duperret, Samuel A.M. Martin, Guillaume Mitta, Fabrice Pernet, Jarunan Pratoomyot, Jeffrey D. Shields, Andrew P. Shinn, Warangkhana Songsungthong, Gun Srijuntongsiri, Kallaya Sritunyalucksana, Jeremie Vidal-Dupiol, Tamsyn M. Uren Webster, Suparat Taengchaiyaphum, Ratchakorn Wongwaradechkul, Christopher J. Coates
Publikováno v:
iScience, Vol 27, Iss 9, Pp 110838- (2024)
Summary: A recurring trend in evidence scrutinized over the past few decades is that disease outbreaks will become more frequent, intense, and widespread on land and in water, due to climate change. Pathogens and the diseases they inflict represent a
Externí odkaz:
https://doaj.org/article/168c3ce81bb4478d8066e1c40628d4df
Autor:
Caillon, Antoine, Esling, Philippe
Deep learning models are mostly used in an offline inference fashion. However, this strongly limits the use of these models inside audio generation setups, as most creative workflows are based on real-time digital signal processing. Although approach
Externí odkaz:
http://arxiv.org/abs/2204.07064
Autor:
S. Albertin, J. Savarino, S. Bekki, A. Barbero, R. Grilli, Q. Fournier, I. Ventrillard, N. Caillon, K. Law
Publikováno v:
Atmospheric Chemistry and Physics, Vol 24, Pp 1361-1388 (2024)
The oxygen (Δ17O) and nitrogen (δ15N) isotopic compositions of atmospheric nitrate (NO3-) are widely used as tracers of its formation pathways, precursor (nitrogen oxides (NOx) ≡ nitric oxide (NO) + nitrogen dioxide (NO2)) emission sources, and p
Externí odkaz:
https://doaj.org/article/acd0be9cc15e4dbf876817936a84f758
Autor:
Caillon, Antoine, Esling, Philippe
Deep generative models applied to audio have improved by a large margin the state-of-the-art in many speech and music related tasks. However, as raw waveform modelling remains an inherently difficult task, audio generative models are either computati
Externí odkaz:
http://arxiv.org/abs/2111.05011
Autor:
Rowley, Andrew F., Baker-Austin, Craig, Boerlage, Annette S., Caillon, Coline, Davies, Charlotte E., Duperret, Léo, Martin, Samuel A.M., Mitta, Guillaume, Pernet, Fabrice, Pratoomyot, Jarunan, Shields, Jeffrey D., Shinn, Andrew P., Songsungthong, Warangkhana, Srijuntongsiri, Gun, Sritunyalucksana, Kallaya, Vidal-Dupiol, Jeremie, Uren Webster, Tamsyn M., Taengchaiyaphum, Suparat, Wongwaradechkul, Ratchakorn, Coates, Christopher J.
Publikováno v:
In iScience 20 September 2024 27(9)
Autor:
Panos-Basterra, Paula, Theuriet, Julian, Nadaj-Pakleza, Aleksandra, Magot, Armelle, Lannes, Beatrice, Marcorelles, Pascale, Behin, Anthony, Masingue, Marion, Caillon, Florence, Malek, Yannis, Fenouil, Tanguy, Bas, Joaquim, Menassa, Rita, Michel-Calemard, Laurence, Streichenberger, Nathalie, Simon, Jean-Philippe, Bouhour, Francoise, Evangelista, Teresinha, Métay, Corinne, Pegat, Antoine, Stojkovic, Tanya, Fernández-Eulate, Gorka
Publikováno v:
In Neuromuscular Disorders September 2024 42:43-52