Original title: Stable distributions for feature extraction from speech signals
Authors: Mžourek, Z.
Document type: Papers
Language: eng
Publisher: Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
Abstract: The aim of this paper is to introduce class of stable distributions as a potentional tool for statistical modelling of features extracted from speech signals. Alpha-stable distributions are generalization of the Gaussian distribution therefore they can be used in modeling of more variety of different problems. It is described why can stable distributions be useful in speech processing and potential useful applications are proposed for feature extractions and reduction.
Keywords: feature extraction; feature reduction; speech processing; stable distribution
Host item entry: Proceedings of the 21st Conference STUDENT EEICT 2015, ISBN 978-80-214-5148-3

Institution: Brno University of Technology (web)
Document availability information: Fulltext is available in the Brno University of Technology Digital Library.
Original record: http://hdl.handle.net/11012/43052

Permalink: http://www.nusl.cz/ntk/nusl-220481


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Universities and colleges > Public universities > Brno University of Technology
Conference materials > Papers