Artificial intelligence

Scientific journal

ISSN 2710-1673

ONLINE: ISSN 2710-1681

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Класифікація фреймів мовленнєвого сигналу в задачах дикторонезалежного розпізнавання мовлення

Yermolenko T.1, Zhuk A.2
1 Institute of Artificial Intelligence MES of Ukraine and MAS of Ukraine
2 Institute of Artificial Intelligence MES of Ukraine and NAS of Ukraine

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UDC: 004.89, 004.93
Publication Language: Russian
Stuc. intelekt. 2011; 16(4):87-95

Abstract: The method for voice activity detection in a captured speech stream with automatic adaptation to environmental and sound-capture hardware noises, and the algorithm for speech signal frames classification in the terms of generalized phonetic transcription are proposed in the article. The speaker-independence is reached because of the parameters used in the classification process. These parameters are based on different spectral representations of a signal and reflect spectral density species of speech sounds.

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