Zobrazeno 1 - 10
of 4 187
pro vyhledávání: '"Riou, P"'
In this paper, we tackle the task of musical stem retrieval. Given a musical mix, it consists in retrieving a stem that would fit with it, i.e., that would sound pleasant if played together. To do so, we introduce a new method based on Joint-Embeddin
Externí odkaz:
http://arxiv.org/abs/2411.19806
This paper explores the automated process of determining stem compatibility by identifying audio recordings of single instruments that blend well with a given musical context. To tackle this challenge, we present Stem-JEPA, a novel Joint-Embedding Pr
Externí odkaz:
http://arxiv.org/abs/2408.02514
This paper addresses the problem of self-supervised general-purpose audio representation learning. We explore the use of Joint-Embedding Predictive Architectures (JEPA) for this task, which consists of splitting an input mel-spectrogram into two part
Externí odkaz:
http://arxiv.org/abs/2405.08679
Autor:
Orgogozo, Fabrice, Riou, Joël
Relying on the formalism developed by Alexander Beilinson and Takeshi Saito, we compute the characteristic cycle of an external symmetric power of a tame \'etale sheaf on a curve. This generalizes a result of G\'erard Laumon in characteristic 0 and l
Externí odkaz:
http://arxiv.org/abs/2312.07776
Autor:
Cindy Riou, Panpradub Sinpru, Chanadda Suwanvichanee, Boonyarit Kamkrathok, Chalermluck Phoovasawat, Catleya Rojviriya, Wittawat Molee, Amonrat Molee
Publikováno v:
Animal Bioscience, Vol 37, Iss 11, Pp 1834-1847 (2024)
Objective The effects of carnosine synthesis on the structural and microstructural determinants of meat quality have not been studied to date. Therefore, this study aimed to investigate the effect of supplementation with carnosine synthesis precursor
Externí odkaz:
https://doaj.org/article/c5506be0f8a346c482c0afe5d6da1cde
Autor:
Maëlle Riou, Harmony Duclos, Méline Leribillard, Jean-Jacques Parienti, Shailendra Segobin, Armelle Viard, Gisèle Apter, Priscille Gerardin, Bérengère Guillery, Fabian Guénolé
Publikováno v:
BMC Psychiatry, Vol 24, Iss 1, Pp 1-10 (2024)
Abstract Background Borderline Personality Disorder (BPD) is a prevalent and debilitating psychiatric condition often accompanied by Post-Traumatic Stress Disorder (PTSD), with a substantial prevalence of trauma history among affected individuals. Th
Externí odkaz:
https://doaj.org/article/7f5ae8436fb14c939dd2bed0da22d19e
In this paper, we address the problem of pitch estimation using Self Supervised Learning (SSL). The SSL paradigm we use is equivariance to pitch transposition, which enables our model to accurately perform pitch estimation on monophonic audio after b
Externí odkaz:
http://arxiv.org/abs/2309.02265
Switzerland experienced one of the warmest summers during 2022. Extreme heat has been linked to increased mortality. Monitoring the mortality burden attributable to extreme heat is crucial to inform policies, such as heat warnings, and prevent heat-r
Externí odkaz:
http://arxiv.org/abs/2308.15251
Bernstein's condition is a key assumption that guarantees fast rates in machine learning. For example, the Gibbs algorithm with prior $\pi$ has an excess risk in $O(d_{\pi}/n)$, as opposed to the standard $O(\sqrt{d_{\pi}/n})$, where $n$ denotes the
Externí odkaz:
http://arxiv.org/abs/2302.11709
Autor:
Perrin-Riou, Bernadette
We associate to a filtered $\varphi$-module $D$ a sub-$Z_p[[x]]$-module of convergent series on the open unit disk in which the $p$-adic $L$-functions of the Galois representation associated to $D$ and the $Z_p$-cyclotomic extension live (if they exi
Externí odkaz:
http://arxiv.org/abs/2301.06430