Parallel implementation of Artificial Neural Network training for speech recognition

Pattern Recognition Letters, pp. 1302-1309, 2010.

Cited by: 11|Views30
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Abstract:

In this paper we describe the implementation of a complete ANN training procedure using the block mode back-propagation learning algorithm for sequential patterns - such as the observation feature vectors of a speech recognition system - exploiting the high performance SIMD architecture of GPU using CUDA and its C-like language interface....More

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