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Linear predictive coding (LPC) is a method used mostly in audio signal processing and speech processing for representing the spectral envelope of a digital signal of speech in compressed form, using the information of a linear predictive model. [1] [2] LPC is the most widely used method in speech coding and speech synthesis.
The short-term predictor is similar to FLAC in its operation – it is a quantized LPC predictor with a losslessly coded residual using Golomb Rice Coding or Block Gilbert Moore Coding (BGMC). [ 3 ] [ 4 ] The long term predictor is modeled by 5 long-term weighted residues, each with its own lag (delay).
Full Rate (FR), also known as GSM-FR or GSM 06.10 (sometimes simply GSM), was the first digital speech coding standard used in the GSM digital mobile phone system. It uses linear predictive coding (LPC).
The TMC0280/TMS5100 was the first self-contained LPC speech synthesizer IC ever made. It was designed for Texas Instruments by Larry Brantingham, Paul S. Breedlove, Richard H. Wiggins, [3] and Gene A. Frantz [4] and its silicon was laid out by Larry Brantingham. [2]
Linear prediction is a mathematical operation where future values of a discrete-time signal are estimated as a linear function of previous samples.. In digital signal processing, linear prediction is often called linear predictive coding (LPC) and can thus be viewed as a subset of filter theory.
Low Pin Count interface Winbond chip Trusted Platform Module installed on a motherboard, and using the LPC bus. The Low Pin Count (LPC) bus is a computer bus used on IBM-compatible personal computers to connect low-bandwidth devices to the CPU, such as the BIOS ROM (BIOS ROM was moved to the Serial Peripheral Interface (SPI) bus in 2006 [1]), "legacy" I/O devices (integrated into Super I/O ...
Line spectral pairs (LSP) or line spectral frequencies (LSF) are used to represent linear prediction coefficients (LPC) for transmission over a channel. [1] LSPs have several properties (e.g. smaller sensitivity to quantization noise) that make them superior to direct quantization of LPCs. For this reason, LSPs are very useful in speech coding.
Lossless predictive audio compression (LPAC) is an improved lossless audio compression algorithm developed by Tilman Liebchen, Marcus Purat and Peter Noll at the Institute for Telecommunications, Technische Universität Berlin (TU Berlin), [1] to compress PCM audio in a lossless manner, in contrast to lossy compression algorithms.