Zobrazeno 1 - 10
of 3 669
pro vyhledávání: '"A. Kegler"'
Autor:
Kegler, Vanessa D., de Oliveira, Igor S. S., Pacine, Dominike, Nunes, Ricardo W., Pereira, Teldo A. S., Lima, Erika N.
This study investigates the structural, mechanical, and electronic properties of novel two-dimensional (2D) pentaoctite (PO) monolayers composed of group-IV elements (PO-C, PO-Si, PO-Ge, and PO-Sn) using first-principles calculations. Stability is ex
Externí odkaz:
http://arxiv.org/abs/2409.05986
Target Sound Extraction (TSE) focuses on the problem of separating sources of interest, indicated by a user's cue, from the input mixture. Most existing solutions operate in an offline fashion and are not suited to the low-latency causal processing c
Externí odkaz:
http://arxiv.org/abs/2403.14246
Autor:
Karchkhadze, Tornike, Kavaki, Hassan Salami, Izadi, Mohammad Rasool, Irvin, Bryce, Kegler, Mikolaj, Hertz, Ari, Zhang, Shuo, Stamenovic, Marko
Publikováno v:
EUSIPCO 2024 Proceedings, ISBN: 978-9-4645-9361-7
Foley sound generation, the art of creating audio for multimedia, has recently seen notable advancements through text-conditioned latent diffusion models. These systems use multimodal text-audio representation models, such as Contrastive Language-Aud
Externí odkaz:
http://arxiv.org/abs/2403.12182
Autor:
Elizabeth W. Perry, Shannon Self-Brown, Kaitlyn Koontz, Regine Haardörfer, Daniel J. Whitaker, Claire A. Spears, Jidong Huang, Michelle Kegler
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-19 (2024)
Abstract Background Secondhand smoke exposure (SHS) and child maltreatment (CM) are preventable yet have negative lifelong impacts on health. When considered together, the risk for negative health outcomes may be compounded, especially for people liv
Externí odkaz:
https://doaj.org/article/30a957589d0945b0a199011407689c75
Tiny, causal models are crucial for embedded audio machine learning applications. Model compression can be achieved via distilling knowledge from a large teacher into a smaller student model. In this work, we propose a novel two-step approach for tin
Externí odkaz:
http://arxiv.org/abs/2309.08144
Autor:
Katarzyna Nabrdalik, Krzysztof Irlik, Yanda Meng, Hanna Kwiendacz, Julia Piaśnik, Mirela Hendel, Paweł Ignacy, Justyna Kulpa, Kamil Kegler, Mikołaj Herba, Sylwia Boczek, Effendy Bin Hashim, Zhuangzhi Gao, Janusz Gumprecht, Yalin Zheng, Gregory Y. H. Lip, Uazman Alam
Publikováno v:
Cardiovascular Diabetology, Vol 23, Iss 1, Pp 1-10 (2024)
Abstract Background Cardiac autonomic neuropathy (CAN) in diabetes mellitus (DM) is independently associated with cardiovascular (CV) events and CV death. Diagnosis of this complication of DM is time-consuming and not routinely performed in the clini
Externí odkaz:
https://doaj.org/article/caf7899cac6f43999cb6e01e9282ccaf
Autor:
Kegler, Jeffrey
The Marpa parser was intended to make the best results in the academic literature on Earley's algorithm available as a practical general parser. Earley-based parsers have had issues handling nullable symbols. Initially, we dealt with nullable symbols
Externí odkaz:
http://arxiv.org/abs/2303.04093
Autor:
Sarah A. Birken, Jure Baloh, Michelle C. Kegler, Terry T.-K. Huang, Matthew Lee, Prajakta Adsul, Grace Ryan, Alexandra Peluso, Cheyenne Wagi, Aliza Randazzo, Megan A. Mullins, Kristin E. Morrill, Linda K. Ko
Publikováno v:
Frontiers in Health Services, Vol 4 (2024)
Organizations exert influence on the implementation of evidence-based practices and other innovations that are independent of the influence of organizations' individual constituents. Despite their influence, nuanced explanations of organizations' inf
Externí odkaz:
https://doaj.org/article/7da5953e37dd45cc98f699f61a9466da
Autor:
Harald Kegler
Publikováno v:
Raumforschung und Raumordnung (2024)
Buchrezension
Externí odkaz:
https://doaj.org/article/fb1492f1ca1247a6921d2d18b9721625
Modern speech enhancement (SE) networks typically implement noise suppression through time-frequency masking, latent representation masking, or discriminative signal prediction. In contrast, some recent works explore SE via generative speech synthesi
Externí odkaz:
http://arxiv.org/abs/2211.02542