Deep learning has now become an integral part of today's world and advancement in the
field of deep learning has gained a huge development. Due to the extensive use and fast …

Linear predictive coding (LPC) parameters are widely used in various speech coding
applications for representing the short-time spectral envelope information of speech [1]. For …

This book is the result of several years of teaching and research at the Federal University of
Campina Grande, Federal University of Pernambuco, and Federal University of Bahia …

Commencing with a brief history of mobile communications and the portrayal of the basic
concept of wireless multimedia communications, the implications of Shannon's theorems …

Speech coder includes an improved form of Switched pre dictive multi-stage vector
quantization. The Switch predic tive quantization includes at least a pair of codebook Sets in …

Since the 1960's, the geomagnetic polarity time scale, which is based on marine magnetic
anomalies, has become fundamentally important in geochronology. Despite the importance …

The commonly used line spectral frequencies form the roots of symmetric and antisymmetric
polynomials constructed from a linear predictor. We provide a new, simpler proof that the …

In an exploration of the spectral modelling of speech, this thesis presents theory and
applications of constrained linear predictive (LP) models. Spectral models are essential in …

A restricted temporal decomposition method is presented for line spectral frequency (LSF)
parameters. The proposed method interpolates an LSF vector trajectory efficiently while …

In speech coding, several vector quantization (VQ) methods for the LPC (linear predictive
coding) parameters have been developed. Because LPC parameters are too dynamic to …