Abstract
In some cases, MFCC will fail to effectively demonstrate the real voice quality. In order to achieve speech quality effectively, a new speech feature extraction method are proposed on the base of MFCC. We use Gammatone filter bank instead of triangle filter bank, which is not sensitive to the excursion of formant, and we use RASTA filter to further process the results of the previous step; the experimental results show that the proposed algorithm is effectively in speech evaluation.
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