Text–Independent Speaker Recognition Using Two–Dimensional Information Entropy

Boško Božilović; Branislav M. Todorović; Miroslav Obradović

doi:10.2478/jee-2015-0027

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Text–Independent Speaker Recognition Using Two–Dimensional Information Entropy

Journal of Electrical Engineering

Volume 66 (2015): Issue 3 (May 2015)

By: Boško Božilović, Branislav M. Todorović and Miroslav Obradović

Open Access

|Jul 2015

Abstract

Speaker recognition is the process of automatically recognizing who is speaking on the basis of speaker specific characteristics included in the speech signal. These speaker specific characteristics are called features. Over the past decades, extensive research has been carried out on various possible speech signal features obtained from signal in time or frequency domain. The objective of this paper is to introduce two-dimensional information entropy as a new text-independent speaker recognition feature. Computations are performed in time domain with real numbers exclusively. Experimental results show that the two-dimensional information entropy is a speaker specific characteristic, useful for speaker recognition.

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Articles in this issue

DOI: https://doi.org/10.2478/jee-2015-0027 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632

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Language: English

Page range: 169 - 173

Submitted on: Feb 26, 2015

Published on: Jul 14, 2015

Published by: Slovak University of Technology in Bratislava

In partnership with: Paradigm Publishing Services

Publication frequency: 6 issues per year

Keywords:

speech,

Related subjects:

Introductions and overviews,

Engineering, other

© 2015 Boško Božilović, Branislav M. Todorović, Miroslav Obradović, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 66 (2015): Issue 3 (May 2015)