The Modular Neural Predictive Coding architecture
Mohamed Chétouani, Bruno Gas, Jean‐Luc Zarader · 2004
We present a new architecture called the Modular Neural Predictive Coding architecture (Modular NPC). This architecture is used for speech discriminant feature extraction (DFE). We present an application of the modular NPC architecture on phoneme recognition task. The phonemes which are extracted from the Darpa-Timit speech database are: vowels, /b/-/d/-/g/ and /p/-/t/-/k/ phonemes. Comparisons with coding methods (LPC, MFCC, PLP) are presented.