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Mel-frequency cepstrum coefficient (MFCC) is a widely used feature vector in speech signal precessing. Its feature extraction procedure can be seen as a mapping function which transfers the input speech signals to output MFCC feature vectors. However, this function is too complex to analyze and even a simple approximation is not easy to obtain. This paper studies the effects of each MFCC feature extraction...
In this paper, a novel auditory feature based on fractional Fourier transform (FRFT), namely, fractional auditory cepstrum coefficient (FACC), is presented for language identification (LID). Different from the widely used Mel-frequency cepstrum coefficient (MFCC), the proposed feature utilizes the human auditory model and performs Gammatone filtering for the short-time fractional spectrum of the speech...
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