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.
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01 Jan 2005
TL;DR: A high quality wideband speech coder based on code-excited linear prediction (CELP) algorithm with perceptually constrained variable bitrate (VBR) with comparison with MPEG1 Layer III codecs is proposed.
Abstract: A high quality wideband speech coder based on code-excited linear prediction (CELP) algorithm with perceptually constrained variable bitrate (VBR) is proposed in this paper A VBR is achieved with the help of reconfigurable structure of multiband multistage codebook of excitation vectors controlled by psychoacoustic model based on warped discrete-Fourier transform (WDFT) Comparison with MPEG1 Layer III codecs at 16, 24 and 32 kbps is implemented
2 citations
Proceedings Article•
01 Jan 1993
2 citations
29 Oct 2002
TL;DR: It is shown that non-linear speech prediction does not lead to an appreciable further reduction in the residual signal in this case.
Abstract: Speech technology is one of the key technical issues involved in Information Technology as it constitutes an important aspect of Human Computer Interaction Prediction of speech signal has applications in speech technology, especially in coding Conventionally, linear prediction is used However, non-linear phenomena exist in speech production and, considering this non-linearity should lead to lower signal dynamics during coding with a consequent reduction in bit-rate and the needed bandwidth The non-linear prediction of speech segments, as long as a whole vowel, using neural nets is studied in this paper It is shown that non-linear speech prediction does not lead to an appreciable further reduction in the residual signal in this case
2 citations
01 Oct 2010
TL;DR: The results show that the proposed CELP-like compression algorithm is 6 dB superior to block adaptive quantization (BAQ) in signal-to-noise ratio and the formed SAR image after compression preserves the main features of the captured scene at low data rate contrary to that of BAQ-compressed data.
Abstract: Transmission of synthetic aperture radar (SAR) data requires large bandwidth due to its inherently high data rate. Consequently, compression of the data is often required. In this paper, we propose a raw SAR data compression algorithm that employs a predictive coding scheme, based on the analysis-by-synthesis encoding method. The proposed algorithm is inspired by code excited linear prediction (CELP) algorithm used in speech compression and exploits the signal correlation across azimuth of the range-wise inverse Fourier transform of the raw SAR data. Our results show that the proposed CELP-like compression algorithm is 6 dB superior to block adaptive quantization (BAQ) in signal-to-noise ratio. Also, we show that the formed SAR image after compression preserves the main features of the captured scene at low data rate contrary to that of BAQ-compressed data.
2 citations
13 Oct 1996
TL;DR: Comparative experimental analysis done referred to the results of three different spectral measures related to the RMS LOG spectral measure: likelihood ratios, cosh measure and cepstral distance justify the use of the proposed sample-selective LPC method in standard CELP speech coder.
Abstract: The application of the sample-selective LPC method in standard CELP coder, U.S.A. FED STD 1016 4.8 kb/s, in sense of decreasing LPC spectral degradation compared to the standard LPC, methods is considered in the paper. Comparative experimental analysis is done referred to the results of three different spectral measures related to the RMS LOG spectral measure: likelihood ratios, cosh measure and cepstral distance. Presented experimental analysis justify the use of the proposed sample-selective LPC method in standard CELP speech coder.
2 citations