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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
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Proceedings ArticleDOI
06 May 2022
TL;DR: In this article , the authors used LPC (linear predictive coding) and CELP (code-excited linear prediction) to reproduce the original signal through the application of some predictive techniques.
Abstract: Snoring is a disagreeable sound produced by humans while they sleep and in some dimensions, it is considered pathology. Characterized by inspiratory signals, it is closely related to the breathing function. This paper deals with the sleeping snore using an efficient approach based on the synthesis of a recorded snoring signal. The advantages of this approach are very varied such as offers of a non-contact substitute, artificial reproduction by machine of the original signal (snoring), which can even be integrated later in humanoid robots as an example. The method itself of this reconstitution is a reproduce of the signal through the application of some predictive techniques such as LPC (linear predictive coding), and CELP (Code-excited linear prediction). The difference between original and synthetic signals, called also residuals, can be explained by a scanning factor and different types of noises. Finally, to evaluate our approach, we compute the Segmental Signal to Noise Ratio (called segmental SNR which is a special SNR very useful for segmented signals.), and Root Mean Square Error (RMSE), both of which are suitable criteria for sound signals, decisive for us in order to show the effectiveness of these different methods.
Proceedings ArticleDOI
09 Nov 2003
TL;DR: An old waveform coding technique, D*PCM, is examined in the context of wideband coding of speech and audio and it is shown that the use of a modified form of this approach has the promise of providing a very low complexity, high quality, wideband audio coder.
Abstract: We examine an old waveform coding technique, D*PCM, in the context of wideband coding of speech and audio. We show that the use of a modified form of this approach has the promise of providing a very low complexity, high quality, wideband audio coder.
01 Jan 1988
TL;DR: It is shown that it is not necessary to transmit local bias values of the image frames to get good performance from this coder and that the stochastic excitation is not adequate to represent the prediction residual signal.
Abstract: The stochastic excited linear predictive coding method has been recently proposed for low bit-rate coding of speech. In the present paper, we investigate the use of this codlng method for image coding and study its different parameters. We show that it is not necessary to transmit local bias values of the image frames. We also show that the stochastic excitation is not adequate to represent the prediction residual signal. In order to get good performance from this coder, it is necessary to generate the codebook from the actual prediction residua 1 signa 1.
Proceedings ArticleDOI
01 Nov 2008
TL;DR: This paper proposes a new multiple description scheme named distributed subframe interleaving, and employs this new scheme to create two novel multiple description codecs based on CELP to provide significantly better speech quality and suitable to unreliable packet networks.
Abstract: Error resilient coding is strongly demanded by voice communication over unreliable packet networks. In this paper, we propose a new multiple description scheme named distributed subframe interleaving, and employ this new scheme to create two novel multiple description codecs based on CELP. With introducing distributed subframe interleaving operated on two adjacent speech packets, parameters of LSP are interleaved into different descriptions while other parameters belong to different subframes are assigned in subframe-distributed principle. Moreover, parameter interpolation is adopted to restore the lost description without introducing any extra delay at the decoder. Experimental results demonstrate that the proposed codecs are able to provide significantly better speech quality than traditional CELP codec and suitable to unreliable packet networks.
Patent
22 May 2007
TL;DR: In this article, a method and an apparatus to encode and decode a speech signal using a code excited linear prediction (CELP) algorithm is presented, which reduces bit rate without degrading performance in an enhancement layer based on CELP.
Abstract: A method and an apparatus to encode and decode a speech signal using a code excited linear prediction (CELP) algorithm. In order to reduce a bit rate without degrading performance in an enhancement layer based on CELP, each of a fixed codebook of a core layer and a fixed codebook of the enhancement layer is divided into a plurality of spaces. The spaces of the fixed codebook of the enhancement layer excludes a space corresponding to a least distorted space determined from among the spaces of the fixed codebook of the core layer are searched.

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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20226
20213
20207
201915
201810
201713