Neural Predictive Coding for Speech Discriminant Feature Extraction : The DFE-NPC
Mohamed Chétouani, Bruno Gas, Jean‐Luc Zarader, Cyril Chavy · 2002
Abstract: 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. 1.