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Code-excited linear prediction (CELP) is a linear predictive speech coding algorithm originally proposed by Manfred R. Schroeder and Bishnu S. Atal in 1985. At the time, it provided significantly better quality than existing low bit-rate algorithms, such as residual-excited linear prediction (RELP) and linear predictive coding (LPC) vocoders (e.g., FS-1015).
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.
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.
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Pike has its roots in LPC, which was a language developed for MUDs.Programmers at Lysator in Linköping, Sweden, most notably Fredrik Hübinette and Per Hedbor, [1] separated the language and virtual machine from the rest of the MUD driver, and used it as a rapid prototyping language for various applications, calling it LPC4.
Between 1998 and 2001, a new MELP-based vocoder was created at half the rate (i.e. 1200 bit/s), and substantial enhancements were added to the MIL-STD-3005 by SignalCom (later acquired by Microsoft), Compandent, and AT&T Corporation, which included (a) additional new vocoder at half the rate (i.e. 1200 bit/s), (b) substantially improved encoding (analysis), (c) substantially improved decoding ...
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LPC (programming language), the programming language of LPMuds; Local Procedure Call, in Microsoft's Windows NT operating systems; Low Pin Count, a computer bus technology; Lync Persistent Chat, a Microsoft Lync feature; NXP LPC, a family of 32-bit microcontroller integrated circuits