ISCA Archive Interspeech 2009
ISCA Archive Interspeech 2009

Parallel fast likelihood computation for LVCSR using mixture decomposition

Naveen Parihar, Ralf Schlüter, David Rybach, Eric A. Hansen

This paper describes a simple and robust method for improving the runtime of likelihood computation on multi-core processors without degrading system accuracy. The method improves runtime by parallelizing likelihood computations on a multi-core processor. Mixtures are decomposed among the cores and each core computes the likelihood of the mixture allocated to it. We study two approaches to mixture decomposition — Chunk based and Decisiontree based. When applied to RWTH TC-STAR EPPS English LVCSR system on an Intel Core2 Quad processor with varying pruningbeam width settings, the method resulted in a 54% to 70% improvement in the likelihood computation runtime, and a 18% to 59% improvement in the overall runtime.

doi: 10.21437/Interspeech.2009-565

Cite as: Parihar, N., Schlüter, R., Rybach, D., Hansen, E.A. (2009) Parallel fast likelihood computation for LVCSR using mixture decomposition. Proc. Interspeech 2009, 3047-3050, doi: 10.21437/Interspeech.2009-565

  author={Naveen Parihar and Ralf Schlüter and David Rybach and Eric A. Hansen},
  title={{Parallel fast likelihood computation for LVCSR using mixture decomposition}},
  booktitle={Proc. Interspeech 2009},