Zobrazeno 1 - 10
of 13 352
pro vyhledávání: '"Sonne A"'
Autor:
Bennetzen, Benjamin, Kleist, Daniel Vang, Steinmann, Emilie Sonne, Walsted, Loke, Kristensen, Nikolaj Rossander, Steffensen, Peter Buus
This paper presents the syntax and reduction rules for an abstract machine based on the JavaScript XML language. We incorporate the notion of cost into our reduction rules, and create a type system that over-approximate this cost. This over-approxima
Externí odkaz:
http://arxiv.org/abs/2410.18158
Autor:
Bennetzen, Benjamin, Kleist, Daniel Vang, Steinmann, Emilie Sonne, Walsted, Loke, Kristensen, Nikolaj Rossander, Steffensen, Peter Buus
Protecting confidential data from leaking is a critical challenge in computer systems, particularly given the growing number of observers on the internet. Therefore, limiting information flow using robust security policies becomes increasingly vital.
Externí odkaz:
http://arxiv.org/abs/2410.18157
The Effect of Training Dataset Size on Discriminative and Diffusion-Based Speech Enhancement Systems
Autor:
Gonzalez, Philippe, Tan, Zheng-Hua, Østergaard, Jan, Jensen, Jesper, Alstrøm, Tommy Sonne, May, Tobias
The performance of deep neural network-based speech enhancement systems typically increases with the training dataset size. However, studies that investigated the effect of training dataset size on speech enhancement performance did not consider rece
Externí odkaz:
http://arxiv.org/abs/2406.06160
Publikováno v:
Clinical Epidemiology, Vol Volume 11, Pp 323-331 (2019)
Asger Sonne,1 Jesper B Andersen,2 Lars S Rasmussen11Department of Anaesthesia, Centre of Head and Orthopaedics, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark; 2Department of Neurosurgery, The Neuroscience Centre, Rigshospitalet, Unive
Externí odkaz:
https://doaj.org/article/3ffc64ab94674feebe55018c4b15a9af
Autor:
Gonzalez, Philippe, Tan, Zheng-Hua, Østergaard, Jan, Jensen, Jesper, Alstrøm, Tommy Sonne, May, Tobias
Diffusion models are a new class of generative models that have shown outstanding performance in image generation literature. As a consequence, studies have attempted to apply diffusion models to other tasks, such as speech enhancement. A popular app
Externí odkaz:
http://arxiv.org/abs/2312.04370
Autor:
Gonzalez, Philippe, Tan, Zheng-Hua, Østergaard, Jan, Jensen, Jesper, Alstrøm, Tommy Sonne, May, Tobias
Diffusion models are a new class of generative models that have recently been applied to speech enhancement successfully. Previous works have demonstrated their superior performance in mismatched conditions compared to state-of-the art discriminative
Externí odkaz:
http://arxiv.org/abs/2312.02683
The acoustic variability of noisy and reverberant speech mixtures is influenced by multiple factors, such as the spectro-temporal characteristics of the target speaker and the interfering noise, the signal-to-noise ratio (SNR) and the room characteri
Externí odkaz:
http://arxiv.org/abs/2309.06183
Autor:
Martine Kjærsgaard Nielsen, Anne Wilkens Knudsen, Anne Mette Larsen, Pia Sonne, Helena Osbæck Jensen, Anne Marie Beck, Tina Munk
Publikováno v:
Clinical Nutrition Open Science, Vol 57, Iss , Pp 39-51 (2024)
Summary: Background/aims: During the first outbreak of COVID-19 knowledge regarding nutritional status and target areas of the nutritional treatment to patients admitted to the hospitals with COVID-19 was limited. Therefore, the aim was 1) to describ
Externí odkaz:
https://doaj.org/article/471a6534778f4f088a0d45652c58364a
Publikováno v:
Engineering, Vol 40, Iss , Pp 202-210 (2024)
Intelligent chatbots powered by large language models (LLMs) have recently been sweeping the world, with potential for a wide variety of industrial applications. Global frontier technology companies are feverishly participating in LLM-powered chatbot
Externí odkaz:
https://doaj.org/article/54265f2d060147c88db10996387b29c7
Autor:
Christina Sonne Mogensen, Malene Nygaard, Ulla Kampmann, Christian Mølgaard, Faidon Magkos, Nina Rica Wium Geiker
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Gestational diabetes mellitus (GDM) adversely affects offspring glucose homeostasis and risk of developing obesity. Here, we examined the association between glycemia in pregnant women with overweight or obesity without GDM and offspring met
Externí odkaz:
https://doaj.org/article/55a24aaffb114ec18c0179ce01ff7fa9