Zobrazeno 1 - 10
of 13 294
pro vyhledávání: '"Götze, A"'
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:
Götze, Andreas, Jaitner, Dirk
Piston rings cause significant friction losses within internal combustion engines. Especially the first compression ring, which is pressed onto the liner by high cylinder pressure, contributes significantly to the total friction loss of the piston as
Externí odkaz:
https://tud.qucosa.de/id/qucosa%3A89463
https://tud.qucosa.de/api/qucosa%3A89463/attachment/ATT-0/
https://tud.qucosa.de/api/qucosa%3A89463/attachment/ATT-0/
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
Autor:
Mogridge, Rhiannon, Close, George, Sutherland, Robert, Hain, Thomas, Barker, Jon, Goetze, Stefan, Ragni, Anton
Neural networks have been successfully used for non-intrusive speech intelligibility prediction. Recently, the use of feature representations sourced from intermediate layers of pre-trained self-supervised and weakly-supervised models has been found
Externí odkaz:
http://arxiv.org/abs/2401.13611