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ICASSP
2009
IEEE

Fast acoustic computations using graphics processors

10 years 4 months ago
Fast acoustic computations using graphics processors
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.
Paul R. Dixon, Tasuku Oonishi, Sadaoki Furui
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICASSP
Authors Paul R. Dixon, Tasuku Oonishi, Sadaoki Furui
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