GPU accelerated acoustic likelihood computations

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GPU accelerated acoustic likelihood computations

Cardinal, Patrick and Dumouchel, Pierre and Boulianne, Gilles and Comeau, Michel

Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH 2008

Abstract : This paper introduces the use of Graphics Processors Unit (GPU) for computing acoustic likelihoods in a speech recognition system. In addition to their high availability, GPUs provide high computing performance at low cost. We have used a NVidia GeForce 8800GTX programmed with the CUDA (Compute Unified Device Architecture) which shows the GPU as a parallel coprocessor. The acoustic likelihoods are computed as dot products, operations for which GPUs are highly efficient. The implementation in our speech recognition system shows that GPU is 5x faster than the CPU SSE-based implementation. This improvement led to a speed up of 35% on a large vocabulary task. Copyright © 2008 ISCA.

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