We introduce two methods for quantization noise reduction in oversampled filter banks. These methods are based on predictive quantization (noise shaping or linear prediction). It is demonstrated that oversampled noise shaping or linear predictive subband coders are well suited for subband coding applications where, for technological or other reasons, low-resolution quantizers have to be used. I...

In this article, new feature extraction methods, which utilize wavelet decomposition and reduced order linear predictive coding (LPC) coefficients, have been proposed for speech recognition. The coefficients have been derived from the speech frames decomposed using discrete wavelet transform. LPC coefficients derived from subband decomposition (abbreviated as WLPC) of speech frame provide bette...

Spiking neural networks are characterised by the spiking neuron models they use and how these spiking neurons process information communicated through spikes – the neural code. We demonstrate a plausible spiking neural network based on Spike Response Models and predictive spike-coding. When combined with a plausible reinforcement learning strategy – Attention Gated REinforcement Learning (AGREL...

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 validate the nonlinear prediction improvement of the NPC model. We also, present a new extension of the NPC model : NPC-3. In order to evaluate the performances of the NPC-3 model, we carried out ...

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/ an...

There is currently a great deal of interest in the development of speech coding algorithms capable of delivering toll quality at 4 kb/s and below. For synthesizing high quality speech, accurate representation of the voiced portions of speech is essential. For bit rates of 4 kb/s and below, conventional Code Excited Linear Prediction (CELP) may likely not provide the appropriate degree of period...

Speech compression is a mature technology with many applications. Over the past decade, huge advances have been made in the area of speech coding for reduced bit-rate transmission. With perceptual audio coding, the signal is coded efficiently using a psychoacoustic model, as in MPEG standards. In this paper, two well known algorithms, LPC (Linear Predictive Coding) and subband coding are combin...

The topic of the presentation is an examination of several methodological problems posed by multi-step predictive analysis of speech when applied with a view to estimating vocal dysperiodicities. Problems that are discussed are the following. First, the stability of the multistep predictive synthesis filter; second, the decrease of the quantization noise by means of multiple prediction coeffici...