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of 13 751
pro vyhledávání: '"Götze A"'
Autor:
Arson, Chloé, Balog-Way, Dominic, Beckers, Koenraad, Bezner-Kerr, Wayne, Carson, Sarah, Edwards, Stacey, Fulton, Patrick, Gillenwater, Michael, Goetze, Trystan, Gustafson, Olaf, Ingraffea, Tony, Jordan, Terry, McComas, Katherine, Olmstead, Sheila, Saltiel, Seth, Tester, Jeff, Tucker, Cole, Wells, Marguerite
To review the lessons learnt from recent deep geothermal case studies and plan strategically the research, development, regulation, and communication work required for the implementation of an Enhanced Geothermal System (EGS) at Cornell University, a
Externí odkaz:
http://arxiv.org/abs/2412.11421
Autor:
Bobkov, Sergey G., Götze, Friedrich
An upper bound for the Kantorovich transport distance between probability measures on multidimensional Euclidean spaces is given in terms of transport distances between one dimensional projections. This quantifies the Cram\'er-Wold continuity theorem
Externí odkaz:
http://arxiv.org/abs/2412.10276
Autor:
Götze, Friedrich, Sambale, Holger
We study various generalizations of concentration of measure on the unit sphere, in particular by means of log-Sobolev inequalities. First, we show Sudakov-type concentration results and local semicircular laws for weighted random matrices. A further
Externí odkaz:
http://arxiv.org/abs/2408.04346
Autor:
Bobkov, Sergey, Götze, Friedrich
Berry-Esseen-type bounds are developed in the multidimensional local limit theorem in terms of the Lyapunov coefficients and maxima of involved densities.
Externí odkaz:
http://arxiv.org/abs/2407.20744
Autor:
Bobkov, Sergey, Götze, Friedrich
The paper is devoted to the investigation of Esscher's transform on high dimensional Euclidean spaces in the light of its application to the central limit theorem. With this tool, we explore necessary and sufficient conditions of normal approximation
Externí odkaz:
http://arxiv.org/abs/2407.20726
Machine learning techniques are an active area of research for speech enhancement for hearing aids, with one particular focus on improving the intelligibility of a noisy speech signal. Recent work has shown that feature encodings from self-supervised
Externí odkaz:
http://arxiv.org/abs/2407.13333
Autor:
Ravenscroft, William, Close, George, Goetze, Stefan, Hain, Thomas, Soleymanpour, Mohammad, Chowdhury, Anurag, Fuhs, Mark C.
One solution to automatic speech recognition (ASR) of overlapping speakers is to separate speech and then perform ASR on the separated signals. Commonly, the separator produces artefacts which often degrade ASR performance. Addressing this issue typi
Externí odkaz:
http://arxiv.org/abs/2406.08914
Automatic speech recognition (ASR) research has achieved impressive performance in recent years and has significant potential for enabling access for people with dysarthria (PwD) in augmentative and alternative communication (AAC) and home environmen
Externí odkaz:
http://arxiv.org/abs/2406.08568
Within the area of speech enhancement, there is an ongoing interest in the creation of neural systems which explicitly aim to improve the perceptual quality of the processed audio. In concert with this is the topic of non-intrusive (i.e. without clea
Externí odkaz:
http://arxiv.org/abs/2403.11732
Autor:
Bobkov, Sergey G., Götze, Friedrich
For normalized sums $Z_n$ of i.i.d. random variables, we explore necessary and sufficient conditions which guarantee the normal approximation with respect to the R\'enyi divergence of infinite order. In terms of densities $p_n$ of $Z_n$, this is a st
Externí odkaz:
http://arxiv.org/abs/2402.02259