Vector excitation coding (VXC) is a speech digitisation technique growing in popularity. Problems associated with VXC systems are high computational complexity and poor reconstruction of plosives. The Pairwise Nearest Neighbour (PNN) clustering algorithm is proposed as an efficient method of codebook design. It is demonstrated to preserve plosives better than the Linde-Buzo-Gary (LBG) algorithm [34] and maintain similar quality to LBG for other speech Classification of the residual is then studied. This reduces codebook search complexity and enables a shortcut in computation of the PNN algorithm to be exploited
This paper presents an application of linear predictive coding (LPC) excitation wavelet models for l...
This paper presents an application of linear predictive coding (LPC) excitation wavelet models for l...
Speech coding is important in the effort to make more efficient use of digital telecommunication net...
Vector excitation coding (VXC) is a speech digitisation technique growing in popularity. Problems a...
The excitation for LPC speech synthesis usually consists of two separate signals- a delta-function p...
Background work in various levels of speech coding is reviewed, including unconstrained coding and r...
The last decade has witnessed rapid growth and development within the telecommunication industry. Th...
A method for optimising LPC filters in linear prediction based speech coders is described. The optim...
Digital speech coding is concerned with representing a discrete-time speech signal with as few bits ...
Reducing the transmission bandwidth and achieving higher speech quality are primary concerns in deve...
Linear Predictive Coding (LPC) is a mathematical (signal processing) technique used to remove the re...
Linear Predictive Coding (LPC) has been used to compress and encode speech signals for digital trans...
The last few years has seen a rapid expansion in the development of efficient speech compression alg...
Speech coding is a very important area that finds civilian and military applications. It deals with ...
This paper presents a 1.2 kb/s mixed LPC vocoder based on multiband excitation (MBE) model. The voco...
This paper presents an application of linear predictive coding (LPC) excitation wavelet models for l...
This paper presents an application of linear predictive coding (LPC) excitation wavelet models for l...
Speech coding is important in the effort to make more efficient use of digital telecommunication net...
Vector excitation coding (VXC) is a speech digitisation technique growing in popularity. Problems a...
The excitation for LPC speech synthesis usually consists of two separate signals- a delta-function p...
Background work in various levels of speech coding is reviewed, including unconstrained coding and r...
The last decade has witnessed rapid growth and development within the telecommunication industry. Th...
A method for optimising LPC filters in linear prediction based speech coders is described. The optim...
Digital speech coding is concerned with representing a discrete-time speech signal with as few bits ...
Reducing the transmission bandwidth and achieving higher speech quality are primary concerns in deve...
Linear Predictive Coding (LPC) is a mathematical (signal processing) technique used to remove the re...
Linear Predictive Coding (LPC) has been used to compress and encode speech signals for digital trans...
The last few years has seen a rapid expansion in the development of efficient speech compression alg...
Speech coding is a very important area that finds civilian and military applications. It deals with ...
This paper presents a 1.2 kb/s mixed LPC vocoder based on multiband excitation (MBE) model. The voco...
This paper presents an application of linear predictive coding (LPC) excitation wavelet models for l...
This paper presents an application of linear predictive coding (LPC) excitation wavelet models for l...
Speech coding is important in the effort to make more efficient use of digital telecommunication net...