An Open-Source GPU-Accelerated Feature Extraction Tool
Department of Cybernetics and New Technologies for the Information Society, University of West Bohemia, Plzen, Czech Republic
12th International Conference on Signal Processing (ICSP2014), 2014
@article{michalek2014open,
title={An Open-Source GPU-Accelerated Feature Extraction Tool},
author={Mich{‘a}lek, Josef and Vanek, Jan},
year={2014}
}
An extraction of feature-vectors from speech audio signal is a computationally intensive task. However, MFCC and PLP features remain the most popular for more than a decade. We made a GPU-accelerated implementation of the feature extraction processing. The implementation produces identical features as the reference Hidden Markov Toolkit (HTK) but in a fraction of the elapsed time. The saved time can be invested elsewhere and thus it can speed-up research. The implementation was developed in CUDA which supports NVidia GPUs only. So, we added an Open-CL implementation to support any current GPU. The project is an open-source package, thus research community can modify or adapt the implementation to their needs.
December 1, 2014 by hgpu
