Zobrazeno 1 - 10
of 842
pro vyhledávání: '"P. Demuynck"'
Spoken term detection (STD) is often hindered by reliance on frame-level features and the computationally intensive DTW-based template matching, limiting its practicality. To address these challenges, we propose a novel approach that encodes speech i
Externí odkaz:
http://arxiv.org/abs/2411.14100
Publikováno v:
Biogeosciences, Vol 17, Pp 2289-2314 (2020)
The nutrient composition (high in nitrate but low in silicate) of Subantarctic Mode Water (SAMW) forces diatom scarcity across much of the global surface ocean. This is because diatoms cannot grow without silicate. After formation and downwelling at
Externí odkaz:
https://doaj.org/article/d68f8a1d351d4394a9347f61b83fab5b
Speaker Embeddings With Weakly Supervised Voice Activity Detection For Efficient Speaker Diarization
Autor:
Thienpondt, Jenthe, Demuynck, Kris
Current speaker diarization systems rely on an external voice activity detection model prior to speaker embedding extraction on the detected speech segments. In this paper, we establish that the attention system of a speaker embedding extractor acts
Externí odkaz:
http://arxiv.org/abs/2405.09142
Training monolingual language models for low and mid-resource languages is made challenging by limited and often inadequate pretraining data. In this study, we propose a novel model conversion strategy to address this issue, adapting high-resources m
Externí odkaz:
http://arxiv.org/abs/2310.03477
In this paper, we analyze the behavior of speaker embeddings of patients during oral cancer treatment. First, we found that pre- and post-treatment speaker embeddings differ significantly, notifying a substantial change in voice characteristics. Howe
Externí odkaz:
http://arxiv.org/abs/2307.04744
This paper is concerned with the task of speaker verification on audio with multiple overlapping speakers. Most speaker verification systems are designed with the assumption of a single speaker being present in a given audio segment. However, in a re
Externí odkaz:
http://arxiv.org/abs/2304.03515
Autor:
Adele Sainsily-Cesarus, Elise Schmitt, Lionel Landre, Anne Botzung, Lucie Rauch, Catherine Demuynck, Nathalie Philippi, Paulo Loureiro de Sousa, Catherine Mutter, Benjamin Cretin, Catherine Martin-Hunyadi, Frederic Blanc
Publikováno v:
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-10 (2024)
Abstract Background Dementia with Lewy Bodies (DLB) is responsible for cognitive-behavioural disorders but also for gait disorders. The latter are thought to be related to parkinsonism, but the neural bases of these disorders are not well known, espe
Externí odkaz:
https://doaj.org/article/93a275a567d4424ea0f4dc0d36f2aabd
Autor:
Agathe Vrillon, Olivier Bousiges, Karl Götze, Catherine Demuynck, Candice Muller, Alix Ravier, Benoît Schorr, Nathalie Philippi, Claire Hourregue, Emmanuel Cognat, Julien Dumurgier, Matthieu Lilamand, Benjamin Cretin, Frédéric Blanc, Claire Paquet
Publikováno v:
Alzheimer’s Research & Therapy, Vol 16, Iss 1, Pp 1-11 (2024)
Abstract Background Increasing evidence supports the use of plasma biomarkers of amyloid, tau, neurodegeneration, and neuroinflammation for diagnosis of dementia. However, their performance for positive and differential diagnosis of dementia with Lew
Externí odkaz:
https://doaj.org/article/238f9ff7a6ad4b788865819ae0efee6e
Audio fingerprinting systems must efficiently and robustly identify query snippets in an extensive database. To this end, state-of-the-art systems use deep learning to generate compact audio fingerprints. These systems deploy indexing methods, which
Externí odkaz:
http://arxiv.org/abs/2211.11060
This work introduces BioLORD, a new pre-training strategy for producing meaningful representations for clinical sentences and biomedical concepts. State-of-the-art methodologies operate by maximizing the similarity in representation of names referrin
Externí odkaz:
http://arxiv.org/abs/2210.11892