Archives of Acoustics, 13, 3-4, pp. 205-220, 1988

Automatic voice recognition in open sets

Czesław BASZTURA
Institute of Telecommunication and Acoustics, Wrocław Technical University
Poland

Wojciech MAJEWSKI
Institute of Telecommunication and Acoustics, Wrocław Technical University
Poland

Jerzy JURKIEWICZ
Institute of Telecommunication and Acoustics, Wrocław Technical University
Poland

Every system of automatic voice recognition can be divided into three parts: the voice source, the measuring system (the system of parameter extraction) and the classifier. The object of interest of the present paper is the classifier, in which emphasis is laid upon the procedure capable of recognizing voices in open sets. The methodology of investigations, analysis of the problem and the recognizing algorithm has been presented. Also the experimental results accounting for choice optimization and extraneous voice discrimination as well as the problem of choosing the threshold values for a given recognition strategy has been discussed.
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Copyright © Polish Academy of Sciences & Institute of Fundamental Technological Research (IPPT PAN).

References

Cz. BASZTURA, Automatic speaker recognition by zero-crossing analysis of the speech signal, In: Speech Analysis and Synthesis (W. Jassem[ed.]), 5 PWN, p. 9-40, Warszawa 1980.

Cz. BASZTURA, W. MAJEWSKI, The application of long-term analysis of the zero-crossing of a speech signal in automatic speaker identification, Arch. of Acoustics 3, 1, 3-15 (1978).

Cz. BASZTURA, J. JURKIEWICZ, The zero-crossing analysis of a speech signal in the short-term method of automatic speaker identification, Arch. of Acoustics 3, 3, 185-196 (1978).

J. Z. CYPKIN, Basics of the learning systems (in Polish) WNT, Warszawa 1973.