Performance Enhancement of Phoneme Recognition using GPUs
- DOI
- 10.2991/iccasp-16.2017.77How to use a DOI?
- Keywords
- Neural Networks, Back propagation, GPU.
- Abstract
Phoneme recognition is a vital task in the automatic speech recognition process. The set of algorithms used for phoneme recognition requires effective handling of raw acoustic input data and demands huge amount of computations. New measures proposed in the pre-processing step and back propagation of artificial neural net-works attains improved accuracy and performance benefit, on its implementation on Graphics Processing Unit (GPU). The implementation has been tested on audio files with an average size of 250 KB. It is observed that there is a considerable performance enhancement of around 10x in the GPU implementation against CPU which portray considerable improvement in the learning accuracy.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - P. Tamizharasan AU - M. Karthikeyan AU - N. Ramasubramanian AU - A. Joshi PY - 2016/12 DA - 2016/12 TI - Performance Enhancement of Phoneme Recognition using GPUs BT - Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016) PB - Atlantis Press SP - 524 EP - 530 SN - 1951-6851 UR - https://doi.org/10.2991/iccasp-16.2017.77 DO - 10.2991/iccasp-16.2017.77 ID - Tamizharasan2016/12 ER -