<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Text–Independent Speaker Recognition Using Two–Dimensional Information Entropy

VLATACOM, R&D Center, MilutinaMilankovi´ca 5, 11070 Belgrade, Serbia

RT-RK, Institute for Computer Based Systems, Narodnog Fronta 23A, 21000 Novi Sad, Serbia

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Speaker recognition is the process of automatically recognizing who is speaking on the basis of speaker specific characteristics included in the speech signal....

Text–Independent Speaker Recognition Using Two–Dimensional Information Entropy

Publié en ligne: 14 juil. 2015

Pages: 169 - 173

Reçu: 26 févr. 2015

DOI: https://doi.org/10.2478/jee-2015-0027

Mots clés
biometrics, speech, speaker recognition, feature extraction, information entropy

© Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Text–Independent Speaker Recognition Using Two–Dimensional Information Entropy

Publié en ligne: 14 juil. 2015

Pages: 169 - 173

Reçu: 26 févr. 2015

DOI: https://doi.org/10.2478/jee-2015-0027

Mots clésbiometrics, speech, speaker recognition, feature extraction, information entropy

© Faculty of Electrical Engineering and Information Technology, Slovak University of Technology

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Mots clés
biometrics, speech, speaker recognition, feature extraction, information entropy