Scope for performance enhancement of CMU Sphinx by parallelising with OpenCL
Department of Information Technology, Amrita Vishwa Vidhyapeetham, Coimbatore
International Journal of Wisdom Based Computing, Volume 1, Issue 2, 2011
@article{harish2011scope,
title={Scope for performance enhancement of CMU Sphinx by parallelising with OpenCL},
author={Harish, SC and Balaji, D. and Vignesh, M. and Deepan Kumar, P. and Adinarayanan, V.},
year={2011}
}
Automatic Speech Recognition (ASR) system that utilises many-core Graphics Processing Unit (GPU) architecture enables myriad of emerging applications like mobile based speech recognition, multimedia content transcription, and voice based language translation. This article discusses the feasibility and challenges in performance enhancement of CMU Sphinx-3.08 by parallelising the data-parallel parts using OpenCL that can utilise the GPU many-core architecture. The evolution of high performance GPUs opens a new path in improving the efficiency of ASR by increasing the vocabulary size. We examine the trade offs in implementing the data-parallel parts of Sphinx-3.08 using OpenCL on GPUs.
November 16, 2011 by hgpu
