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Implementation of the MFCC front-end for low-cost speech recognition systems

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4 Author(s)
Ngoc-Vinh Vu ; Department of Electronic Engineering, La Trobe University, Melbourne, Australia ; Jim Whittington ; Hua Ye ; John Devlin

Speech recognition front-end implemented using a high-end floating-point processor is expensive both in terms of computer resources and cost. This paper presents a new small footprint MFCC front-end design that is suitable for low-cost speech recognition systems. By exploiting the overlapping nature of the input frames and by adopting a simple pipeline structure, the implemented design only utilizes approximately 10% total resources of a low-cost and modest-size FPGA device, thus leaving significant space for speech recognition post-processing.

Published in:

Proceedings of 2010 IEEE International Symposium on Circuits and Systems

Date of Conference:

May 30 2010-June 2 2010