Hardware Implementation of MFCC-Based Feature Extraction for Speaker Recognition

  • P. Ehkan
  • F. F. Zakaria
  • M. N. M. Warip
  • Z. Sauli
  • M. Elshaikh
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 315)

Abstract

The most important issues in the field of speech recognition and representative of the speech is a feature extraction. Feature extraction based Mel Frequency Cepstral Coefficient (MFCC) is one the most important features required among various kinds of speech application. In this paper, FPGA-based for speech features extraction MFCC algorithm is proposed. The complexities of computational as well as the requirement of memory usage are characterized, analyzed, and improved. Look-up table (LUT) scheme is used to deal with the elementary function value in the MFCC algorithm and fixed-point arithmetic is implemented to reduce the cost under accuracy study. The final feature extraction design is implemented effectively into the FPGA-Xilinx Virtex2 XC2V6000 FF1157-4 chip.

Keywords

Speaker recognition Mel frequency cepstral coefficients Field programmable gate array 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • P. Ehkan
    • 1
  • F. F. Zakaria
    • 1
  • M. N. M. Warip
    • 1
  • Z. Sauli
    • 2
  • M. Elshaikh
    • 1
  1. 1.School of Computer and Communication EngineeringUniversiti Malaysia PerlisArauMalaysia
  2. 2.School of Microelectronic EngineeringUniversiti Malaysia PerlisArauMalaysia

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