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

  title={Implementation of the MFCC front-end for low-cost speech recognition systems},
  author={Ngoc-Vinh Vu and Jim Whittington and Hua Ye and John C. Devlin},
  journal={Proceedings of 2010 IEEE International Symposium on Circuits and Systems},
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… CONTINUE READING


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Publications referenced by this paper.
Showing 1-7 of 7 references

and P

S. Young, D. Kershaw, J. Odell, D. Ollason, V. Valtchev
Woodland, The HTK Book Version 3.0. Cambridge University Press • 2000
View 8 Excerpts
Highly Influenced

Fundamentals of speech recognition

Prentice Hall signal processing series • 1993
View 1 Excerpt

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