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Linear predictive coding

About: Linear predictive coding is a research topic. Over the lifetime, 6565 publications have been published within this topic receiving 142991 citations. The topic is also known as: Linear predictive coding, LPC.


Papers
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Proceedings ArticleDOI
01 Apr 1986
TL;DR: The Self Excited Vocoder (SEV) is introduced, a new speech coding technique which belongs to the same class of coders as the MPLPC and the CELPC and which achieves near toll-quality performance at around 4800 bps.
Abstract: This paper presents a new speech coding technique for near toll-quality performance at around 4800 bps. Currently, the most promising techniques at these bit rates emphasize the efficient coding of residual information in a Linear Predictive Coding context. The Multipulse Linear Predictive Coder (MPLPC) [1] and the Code Excited Linear Predictive Coder (CELPC) [2] are examples where considerable success has been achieved at medium bit rates. This paper introduces the Self Excited Vocoder (SEV), a new speech coding technique which belongs to the same class of coders as the MPLPC and the CELPC.

37 citations

Proceedings ArticleDOI
01 Apr 1976
TL;DR: This report presents results obtained in some experiments on the computer recognition of continuous speech with two simple languages having vocabularies of 11 and 250 words.
Abstract: This report presents results obtained in some experiments on the computer recognition of continuous speech. The experiments deal with two simple languages having vocabularies of 11 and 250 words.

36 citations

Proceedings ArticleDOI
19 Apr 1994
TL;DR: The MOS subjective test shows that 4.075 kbps M-LCELP synthetic speech quality is high, and that its quality is mostly equivalent to that for an 8 kbps North American full-rate VSELP coder.
Abstract: This paper presents the M-LCELP (multi-mode learned code excited LPC) speech coder, which has been developed for the North American half-rate digital cellular systems. M-LCELP develops the following techniques to achieve high-quality synthetic speech at 4 kbps: (1) Multimode and multi-codebook coding, (2) Pitch lag differential coding with pitch tracking, (3) A two-stage joint design regular-pulse codebook with common phase structure in voiced frames, (4) An efficient vector quantization for LSP parameters, (5) An adaptive MA type comb filter to suppress excitation signal inter-harmonic noise. The MOS subjective test shows that 4.075 kbps M-LCELP synthetic speech quality is high, and that its quality is mostly equivalent to that for an 8 kbps North American full-rate VSELP coder. >

36 citations

PatentDOI
Ning Bi1, Andrew P. Dejaco1
TL;DR: In this paper, a speech processing system modifies various aspects of input speech according to a user-selected one of various preprogrammed voice fonts, each specifying a manner of modifying one or more of the received signals (i.e., formants, voicing, pitch, gain).
Abstract: A speech processing system modifies various aspects of input speech according to a user-selected one of various preprogrammed voice fonts. Initially, the speech converter receives a formants signal representing an input speech signal and a pitch signal representing the input signal's fundamental frequency. One or both of the following may also be received: a voicing signal comprising an indication of whether the input speech signal is voiced, unvoiced, or mixed, and/or a gain signal representing the input speech signal's energy. The speech converter also receives user selection of one of multiple preprogrammed voice fonts, each specifying a manner of modifying one or more of the received signals (i.e., formants, voicing, pitch, gain). The speech converter modifies at least one of the formants, voicing, pitch, and/or gain signals as specified by the selected voice font.

36 citations

Patent
08 May 1991
TL;DR: A block adaptive linear predictive coding method for encoding a signal having multi-dimensional correlation, such as an image signal as improved by employing multidimensional blocks of error signals for making the prediction is presented in this paper.
Abstract: A block adaptive linear predictive coding method for encoding a signal having multi-dimensional correlation, such as an image signal as improved by employing multi-dimensional blocks of error signals for making the prediction. As a preferred mode, two statistical quantities are employed to select a quantizer from a set of minimum square error two-variable quantizers based on probability models of statistical quantities.

36 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20239
202225
202126
202042
201925
201837