Artificial intelligence

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ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Вплив GSM-стиснення на ефективність роботи методів виділення формант

Yermolenko T.1, Klymenko M.2
1 Institute of Artificial Intelligence MES of Ukraine and MAS of Ukraine
2 Institute of artificial intelligence problems of MES and NAS of Ukraine

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UDC: 004.89, 004.93
Publication Language: Russian
Stuc. intelekt. 2011; 16(4):172-180

Abstract: The paper is devoted to the problem of formant tracking methods robustness to GSM 6.10 compression algorithm, which is employed within modern cellular networks. This article describes methods of formant tracking used in modern speaker identification systems. Computational investigation results of these methods robustness to lossy compression are also shown.

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