Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Вплив GSM-стиснення на ідентифікаційні акустичні ознаки, що характеризують мовний потік у цілому

Yermolenko T.1, Panfilova M.2
1 Institute of Artificial Intelligence MES of Ukraine and MAS of Ukraine
2 Державний університет інформатики та штучного інтелекту

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UDC: 004.89, 004.934
Publication Language: Russian
Stuc. intelekt. 2010; 15(3):196-203

Abstract: The article is devoted to research of influence of GSM 6.10 compression algorithm, which is employed within modern cellular networks, on speech signal features. The technique for integral speech signal features computation which is often used in modern speaker identification systems is described. Also computational investigation results of these features robustness to compression with losses are shown.

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