Linear prediction-based coders commonly utilise line spectral pairs (LSPs) to represent
linear prediction coefficients for reasons of filter stability and representational efficiency …

Speech and audio compression has advanced rapidly in recent years spurred on by cost-
effective digital technology and diverse commercial applications. Recent activity in speech …

With this comprehensive and accessible introduction to the field, you will gain all the skills
and knowledge needed to work with current and future audio, speech, and hearing …

The text to speech technology has achieved significant progress during the past decade and
is an active area of research and development in providing different human–computer …

The proposed stochastic K-means algorithm (SKA) associates a vector with a cluster
according to a probability distribution, which depends on the distance between the vector …

Coding of wideband (7kHz) speech and audio signals is one of the currently predominant
research topics in source coding, driven by evolving, new applications in high-quality …

The paper deals with the design of a digital acoustic underwater phone prototype. Digital
techniques allow to achieve a synthesized speech with a quality close to the telephonic one …

In statistics, it is usually difficult to estimate the probability density function from N
independent samples X1, X2,… ︁, XN identically distributed. A lot of work has been done in …

Line spectrum pair (LSP) representation of linear predictive coding (LPC) parameters is
widely used in speech coding applications. An efficient method for LPC to LSP conversion is …

This paper describes a wideband (7 kHz) speech compression scheme operating at a bit
rate of 13.0 kbit/s, ie 0.8 bit per sample. We apply a split-band (SB) technique, where the 0-6 …