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Нейромережний розпізнавач фонем російської мови на багатопроцесорній графічній платі
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UDC: 004.522:004.934
Publication Language: Russian
Stuc. intelekt. 2010; 15(3):176-183
Abstract: In the paper the usage of the modern graphics card sw/hw tools with the parallel architecture for construction of the Russian speech neural network phoneme recognizer is considered. Decomposition of neural network algorithms into fragments for its mapping on the multiprocessor system is offered. The carried out experiments showed advantage of the parallelization neurocomputing on a graphics card for automatic speech recognition in real time.
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