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.
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Ehkan, P., Zakaria, F.F., Warip, M.N.M., Sauli, Z., Elshaikh, M. (2015). Hardware Implementation of MFCC-Based Feature Extraction for Speaker Recognition. In: Sulaiman, H., Othman, M., Othman, M., Rahim, Y., Pee, N. (eds) Advanced Computer and Communication Engineering Technology. Lecture Notes in Electrical Engineering, vol 315. Springer, Cham. https://doi.org/10.1007/978-3-319-07674-4_46
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DOI: https://doi.org/10.1007/978-3-319-07674-4_46
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