Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Sebastian Krey"'
Autor:
Hendrik Nolte, Nicolai Spicher, Andrew Russel, Tim Ehlers, Sebastian Krey, Dagmar Krefting, Julian Kunkel
Publikováno v:
Future Generation Computer Systems. 141:677-691
Publikováno v:
Journal of Statistical Computation and Simulation. 85:47-61
A proper understanding and modelling of the behaviour of heavily loaded large-scale electrical transmission systems is essential for a secure and uninterrupted operation. In this paper, we present methods to cluster electrical power networks based on
Publikováno v:
Computational Statistics. 29:37-50
Clustering of features generated of musical sound recordings proved to be beneficial for further classification tasks such as instrument recognition (Ligges and Krey in Comput Stat 26(2):279---291, 2011). We propose to use order constrained solutions
Autor:
Uwe Ligges, Sebastian Krey
Publikováno v:
Computational Statistics. 26:279-291
We propose a method that allows for instrument classification from a piece of sound. Features are derived from a pre-filtered time series divided into small windows. Afterwards, features from the (transformed) spectrum, Perceptive Linear Prediction (
Autor:
Lena Robitzky, Olaf Spinczyk, Christian Rehtanz, J. Götze, Boguslaw Jablkowski, Johanna M. A. Myrzik, Sebastian Krey, M. Kuech, Andreas Kubis, Christian Wietfeld, C. Langesberg, Claus Weihs, Ulf Häger, Uwe Ligges, Nils Dorsch, Hanno Georg, D. Mayorga, Sven Christian Muller, Dirk Surmann
Publikováno v:
2015 IEEE Eindhoven PowerTech.
The use of Information and Communication Technology (ICT)-based power system applications increases continually which poses new engineering challenges regarding the development, validation and management of both - the applications and the intertwined
Autor:
Matthias Gruhne, Frank Klefenz, Christian Dittmar, Gero Szepannek, Claus Weihs, Tamas Harczos, Sebastian Krey, Bernd Bischl
Publikováno v:
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783642107443
Solving the task of phoneme recognition in music sound files may help for several practical applications: it enables lyrics transcription and as a consequence could provide further relevant information for the task of an automatic song classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::37b1e2dbca732eb25ee9a217bdc8a8e8
https://doi.org/10.1007/978-3-642-10745-0_83
https://doi.org/10.1007/978-3-642-10745-0_83
Autor:
Sebastian Krey, Uwe Ligges
Publikováno v:
Studies in Classification, Data Analysis, and Knowledge Organization ISBN: 9783642107443
In this paper we propose a method that allows for instrument and timbre classification from a single tone. Features are derived from a pre-filtered time series divided into small windows. Afterwards, features from the (transformed) spectrum, Percepti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b99b6dea64050c143f04a31bb282201
https://doi.org/10.1007/978-3-642-10745-0_84
https://doi.org/10.1007/978-3-642-10745-0_84
Publikováno v:
MUSICultures. 2018, Vol. 45 Issue 1/2, p53-70. 18p.
Publikováno v:
Computational Statistics; Feb2014, Vol. 29 Issue 1/2, p37-50, 14p
Autor:
Ligges, Uwe, Krey, Sebastian
Publikováno v:
Computational Statistics; Jun2011, Vol. 26 Issue 2, p279-291, 13p