Neural predictive coding applied to noisy phoneme recognition
Cyril Chavy, Bruno Gas, Jean‐Luc Zarader · 2003
We present a new speech coding, named neural predictive coding, based on an original neural predictive structure. The system is designed to predict the samples of a speech signal window from previous ones. The goal of this coding is to extract the signal discriminative features relative to the database from which it is extracted. After a precise description of our coding, we discuss about the coding phase of the algorithm. We present experiences which show an improvement on telephone speech recognition compared with other predictive or frequency coding. The signal windows are extracted from the telephone speech signal database NTIMIT.