Topic
Code-excited linear prediction
About: Code-excited linear prediction is a research topic. Over the lifetime, 2025 publications have been published within this topic receiving 28633 citations. The topic is also known as: CELP.
Papers published on a yearly basis
Papers
More filters
TL;DR: An algorithm reducing search complexity for adaptive codebook is suggested; the solving method that the parameters are changed into LSP parameters is discussed and the realtime implementation process of this coding on a commercial development board with a single TMS320C30 is described.
Abstract: This paper presents a real-time implementation of 4.2Kb/s CELP speech coding on single DSP chip. An algorithm reducing search complexity for adaptive codebook is suggested; the solving method that the parameters are changed into LSP parameters is discussed. The realtime implementation process of this coding on a commercial development board with a single TMS320C30 is described.
Patent•
11 Sep 2007
TL;DR: In this paper, a speech encoder using a Zinc function and a standard waveform extraction method of the encoder are provided to couple correlation and analysis-synthesis structure and extract the standard wave form from an excitation signal when a voiced signal is encoded.
Abstract: A speech encoder using a Zinc function and a standard waveform extraction method of the encoder are provided to couple correlation and analysis-synthesis structure and extract a standard wave form from an excitation signal when a voiced signal is encoded. An LPC(Linear Prediction Coefficient) analysis unit(11) analyzes an LPC from a speech sample of an input speech signal and extracts an LPC residual signal. A voiced/unvoiced classification unit(12) classifies a weighted LPC residual signal into a voiced sound and an unvoiced sound. A voiced sound encoder encodes an LPC residual signal of a weighted voiced sound as a target signal by using a Zinc function. An unvoiced sound encoder encodes an LPC residual signal of a weighted unvoiced sound as the target signal by using a CELP(Code Excited Linear Prediction) structure.
01 Jan 1989
TL;DR: This approach provides a unified framework for describing and analyzing a wide range of residual speech coders, from Multipulse LPC and CELP to Residual Transform Coders and leads to generalization of some of these schemes.
Abstract: In this paper the efficient representation of the excitation signal to an LPC synthesis filter by means of a vector expansion of the residual signal is examined. According to this approach the excitation signal is represented as a linear combination of a small number of vectors taken from a given vector set, known at both ends of the uansmission channel. It is demonstrated that this approach provides a unified framework for describing and analyzing a wide range of residual speech coders, from Multipulse LPC and CELP to Residual Transform Coders and leads to generalization of some of these schemes. Optimality conditions based on the singular value decomposition (SVD) of the impulse response matrix of the perceptually weighted LPC synthesis filter are given. A resulting simplified Predictive Transform Coder is proposed and examined by computer simulations.