An Open-Source GPU-Accelerated Feature Extraction Tool

Josef Michalek, Jan Vanek
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


   title={An Open-Source GPU-Accelerated Feature Extraction Tool},

   author={Mich{‘a}lek, Josef and Vanek, Jan},



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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.
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