Neural predictive coding for speech discriminant feature extraction: The DFE-NPC
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چکیده
In this paper, we present a predictive neural network called Neural Predictive Coding (NPC). This model is used for non linear discriminant features extraction (DFE) applied to phoneme recognition. We also, present a new extension of the NPC model : DFE-NPC. In order to evaluate the performances of the DFE-NPC model, we carried out a study of Darpa-Timit phonemes (in particular /b/, /d/, /g/ and /p/, /t/, /q/ phonemes) recognition. Comparisons with coding methods (LPC, MFCC, PLP, RASTA-PLP) are presented: they put in obsviousness an improvement of the classification.
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تاریخ انتشار 2002