Fast acoustic computations using graphics processors
Department of Computer Science, Tokyo Institute of Technology, 2-12-1, Ookayama, Meguro-ku, Tokyo, Japan, 152-8552
IEEE International Conference on Acoustics, Speech and Signal Processing, 2009. ICASSP 2009
@conference{dixon2009fast,
title={Fast acoustic computations using graphics processors},
author={Dixon, PR and Oonishi, T. and Furui, S.},
booktitle={Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on},
pages={4321–4324},
issn={1520-6149},
year={2009},
organization={IEEE}
}
In this paper we present a fast method for computing acoustic likelihoods that makes use of a graphics processing unit (GPU). After enabling the GPU acceleration the main processor runtime dedicated to acoustic scoring tasks is reduced from the largest consumer to just a few percent even when using mixture models with a large number of Gaussian components. The results show a large reduction in decoding time with no change in accuracy and we also show by using a 16bit half precision floating point format for the acoustic model parameters, storage requirements can be halved with no reduction in accuracy.
December 25, 2010 by hgpu
