Zobrazeno 1 - 10
of 4 774
pro vyhledávání: '"Schlecht, A."'
Autor:
Santo, Gloria Dal, De Bortoli, Gian Marco, Prawda, Karolina, Schlecht, Sebastian J., Välimäki, Vesa
We present FLAMO, a Frequency-sampling Library for Audio-Module Optimization designed to implement and optimize differentiable linear time-invariant audio systems. The library is open-source and built on the frequency-sampling filter design method, a
Externí odkaz:
http://arxiv.org/abs/2409.08723
Automatic tuning of reverberation algorithms relies on the optimization of a cost function. While general audio similarity metrics are useful, they are not optimized for the specific statistical properties of reverberation in rooms. This paper presen
Externí odkaz:
http://arxiv.org/abs/2408.14836
We propose RHEA CL, which combines Curriculum Learning (CL) with Rolling Horizon Evolutionary Algorithms (RHEA) to automatically produce effective curricula during the training of a reinforcement learning agent. RHEA CL optimizes a population of curr
Externí odkaz:
http://arxiv.org/abs/2408.06068
Autor:
Lee, Kyung Yun, Meyer-Kahlen, Nils, Götz, Georg, Svensson, U. Peter, Schlecht, Sebastian J., Välimäki, Vesa
In multi-room environments, modelling the sound propagation is complex due to the coupling of rooms and diverse source-receiver positions. A common scenario is when the source and the receiver are in different rooms without a clear line of sight. For
Externí odkaz:
http://arxiv.org/abs/2407.13242
Previous research on late-reverberation modeling has mainly focused on exponentially decaying room impulse responses, whereas methods for accurately modeling non-exponential reverberation remain challenging. This paper extends the previously proposed
Externí odkaz:
http://arxiv.org/abs/2403.20090
A common bane of artificial reverberation algorithms is spectral coloration, typically manifesting as metallic ringing, leading to a degradation in the perceived sound quality. This paper presents an optimization framework where a differentiable feed
Externí odkaz:
http://arxiv.org/abs/2402.11216
Rendering immersive spatial audio in virtual reality (VR) and video games demands a fast and accurate generation of room impulse responses (RIRs) to recreate auditory environments plausibly. However, the conventional methods for simulating or measuri
Externí odkaz:
http://arxiv.org/abs/2402.00859
The image-source method is widely applied to compute room impulse responses (RIRs) of shoebox rooms with arbitrary absorption. However, with increasing RIR lengths, the number of image sources grows rapidly, leading to slow computation. In this paper
Externí odkaz:
http://arxiv.org/abs/2310.07363
Autor:
Stefaniya K. Boneva, Julian Wolf, Malte Jung, Gabriele Prinz, Toco Y. P. Chui, Jacqueline Jauch, Anne Drougard, J. Andrew Pospisilik, Anja Schlecht, Felicitas Bucher, Richard B. Rosen, Hansjürgen Agostini, Günther Schlunck, Clemens A. K. Lange
Publikováno v:
Journal of Neuroinflammation, Vol 21, Iss 1, Pp 1-16 (2024)
Abstract Background Despite great advances in proliferative diabetic retinopathy (PDR) therapy over the last decades, one third of treated patients continue to lose vision. While resident vitreous macrophages called hyalocytes have been implicated in
Externí odkaz:
https://doaj.org/article/827468ebd85945bda91aa82c724d8c7e
Autor:
Kathleen Schnick-Vollmer, Christiane Diefenbach, Margarete Imhof, Jochem König, Jennifer Schlecht, Stefan Kuhle, Michael S. Urschitz
Publikováno v:
PeerJ, Vol 12, p e18280 (2024)
Background Children with chronic illness perform poorer at school, and school well-being (SWB) may mediate this association. We investigated the association between chronic illness and three domains of SWB in children in first grade. Methods Data fro
Externí odkaz:
https://doaj.org/article/e2e7f9a558514bd3b956c8ae3d7a89e0