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State-of-the-art speech recognition, speech analysis as well as music modeling have approached Mel-Frequency Cepstral Coefficient (MFCC) and confirmed great performance in comparison to other feature extractions. Based on obtained software performance, a wide range of hardware designs are applied to highly increasing integrated systems achieving real-time performance and ability of mobility. Nevertheless, most hardware approaches witnessing certain configurations have experienced limitation of functions due to fixed-point format, strict silicon requirements or exact applications, which is reasonable for low ability of reusing and high cost of product. As regards MFCC method, there are various concerning parameters such as number of samples, range of filter bands, Fast Fourier Transform (FFT) number, number of cepstrums or even different level of delta coefficients, which significantly affect final …