Efficient computation and encoding of the multipulse excitation for LPC

Efficient multipulse approximation of speech excitation using the most singular manifold

We propose a novel approach to find the locations of the multipulse sequence that approximates the speech source excitation. This approach is based on the notion of Most Singular Manifold (MSM) which is associated to the set of less predictable events. The MSM is formed by identifying (directly from the speech waveform) multiscale singularities which may correspond to significant impulsive exci...

A New Approach to Multipulse Lpc Coder Design

Two new ideas for the design of multipulse excited LPC coders are presented in this paper. The first idea relates to improving the extraction of the all-pole filter parameters by taking into account the error weighting function. This function, which takes advantage of the noise masking properties of the ear, is ignored in the conventional covariance and autocorrelation methods. The new approach...

Position reoptimisation for a multipulse excited LPC coder

Estimation of LPC coefficients using Evolutionary Algorithms

The vast use of Linear Prediction Coefficients (LPC) in speech processing systems has intensified the importance of their accurate computation. This paper is concerned with computing LPC coefficients using evolutionary algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Dif-ferential Evolution (DE) and Particle Swarm Optimization with Differentially perturbed Velocity (PSO-DV...

A Glottal Vocoder Employing Vector Quantization

This paper describes a speech coder for low bit rates using a parametric representation of voiced excitation waveforms (Glottal ARX) and standard LPC for unvoiced. For efficient compression purposes the excitation and spectrum parameters are quantized with vector quantization (VQ). This has resulted in a glottal vocoder operating at 1320 bits/s and sounding more natural than a standard LPC voco...