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.
Papers published on a yearly basis
Papers
More filters
••
03 Apr 1990TL;DR: The source-dependent channel-coding technique is reported for the code-excited linear prediction (CELP) algorithm and an optimal tradeoff between error correction and error detection is obtained.
Abstract: Source-dependent channel-error codes for speech compression algorithms are obtained by minimizing an appropriate speech distortion criterion under channel-error conditions. A simulated annealing algorithm for optimizing such a criterion is described. The resulting channel codes are efficient since they provide error correction of nonuniform accuracy (highly probable quantization levels receive more accurate correction) and/or nonuniform error detection (serious errors are more likely to be detected). An optimal tradeoff between error correction and error detection (associated with a recovery procedure) is obtained. Any desired fraction of the codewords can be allocated for error protection, including noninteger bit allocations. The performance of the source-dependent channel-coding technique is reported for the code-excited linear prediction (CELP) algorithm. >
2 citations
••
29 Oct 2000TL;DR: The issue of improving the existing standard using techniques maintaining compatibility and interoperability is addressed, selective harmonic pre-emphasis and delayed decision parameter estimation are discussed.
Abstract: Federal Standard 1016 CELP is a widely adopted standard for speech coding at 4.8 kbps. In this paper we address the issue of improving the existing standard using techniques maintaining compatibility and interoperability. Two techniques are discussed, selective harmonic pre-emphasis and delayed decision parameter estimation. Selective harmonic pre-emphasis is applied in the analysis-by-synthesis loop of the analyzer to strengthen the harmonic structure in both voiced and mixed areas. Delayed decision is also applied in the analysis-by-synthesis loop of the analyzer for improving the performance of the adaptive codebook. Informal and formal results of each algorithm modification demonstrate improvement.
2 citations
01 Jan 2003
TL;DR: The informal subjective test shows that the speech quality for this DP CELP algorithm at 4 kb/s closes to that of a G.723.1 codec at 6 3kb/s.
Abstract: A dispersed pulse CELP (DP CELP) speech coding algorithm is proposed.The excitation is generated by means of convoluting the algebraic codevector with a fixed dispersion pulse.The constructed speech quality is efficiently improved with this excitation,but the search complexity for algebraic codebook not increased.The informal subjective test shows that the speech quality for this DP CELP algorithm at 4 kb/s closes to that of a G.723.1 codec at 6 3 kb/s.
2 citations
••
TL;DR: A solution to the problem of speech recognition with signals corrupted by additive noise and CS-CELP coders is presented and the hidden Markov model is compensated using the expected value of observation pdf in the context of the stochastic weighted Viterbi algorithm.
Abstract: A solution to the problem of speech recognition with signals corrupted by additive noise and CS-CELP coders is presented. The additive noise and the coding distortion are cancelled according to the following scheme: first, the pdf of the clean coded–decoded speech is estimated with an additive noise model; secondly, the pdf of the clean uncoded signal is also estimated with a coding distortion model; finally, the hidden Markov model is compensated using the expected value of observation pdf in the context of the stochastic weighted Viterbi algorithm.
2 citations