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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
03 Apr 1990
TL;DR: The main results from work on analysis techniques and quantization procedures for real-time implementation of the Proposed Federal Standard 1016 4800-b/s voice coder developed by the US DoD and AT&T Bell Laboratories are presented.
Abstract: The main results from work on analysis techniques and quantization procedures for real-time implementation of the Proposed Federal Standard 1016 4800-b/s voice coder developed by the US DoD and AT&T Bell Laboratories are presented. Reduced search procedures are described for the adaptive and stochastic codebooks, two basic functions in code-excited linear predictive coders (CELPs), where great computational effort is required. An efficient procedure for the joint computation and quantization of the line spectrum pair (LSP) is also proposed. Details about a preliminary real-time implementation on a commercial board with a single DSP32C processor are described. >

2 citations

Proceedings ArticleDOI
30 Oct 2009
TL;DR: Experimental results show that the speech quality of the proposed vocoder is intelligible with good naturalness and the dynamic bit allocation scheme is developed to improve speech quality.
Abstract: A 450bps speech coder based on multi-frame structure and multi-mode matrix quantization is presented. The multi- frame structure consisting of four frames is adopted to reduce the algorithm delay. The parameter matrices are classified into different modes based on the voicing vector information of superframe. To improve speech quality, a dynamic bit allocation scheme is developed. Experimental results show that the speech quality of the proposed vocoder is intelligible with good naturalness.

2 citations

Proceedings ArticleDOI
15 Dec 2003
TL;DR: This paper proposes a method to generate the enhancement information that it better suited for low core bitrates and experimental results show that the proposed approach has a better coded quality or such a situation.
Abstract: CELP (code-excited linear predictive), one of the speech coding techniques, is a part of the MPEG-4 standard. The distinct feature of the MPEG-4 CELP is that it has the bitrate and bandwidth scalability for different users with different network bandwidth. However, subjective experiments show that the scalable mechanism of the MPEG-4 CELP does not perform well at low core bitrates, e.g., 3.85 kbps. In this paper, we propose a method to generate the enhancement information that it better suited for low core bitrates. Experimental results show that the proposed approach has a better coded quality or such a situation.

2 citations

Journal ArticleDOI
TL;DR: The proposed coder removes short-term prediction and uses three-tap long term prediction to exploit the speech redundancy and a "dual-decision" pitch estimation algorithm and an adaptive sinusoidal excitation codebook are introduced to improve the performance.
Abstract: In this letter, we propose a low-delay speech coder at 4.2 kb/s. In the proposed coder, we remove short-term prediction and use three-tap long term prediction to exploit the speech redundancy. A "dual-decision" pitch estimation algorithm and an adaptive sinusoidal excitation codebook are introduced to improve the performance of the proposed coder. The synthesized speech of this coder has comparable quality to that of conventional CELP coders at similar bit rates, while it has a coding delay of only 5 ms.

2 citations

Proceedings ArticleDOI
12 Oct 1998
TL;DR: A new wavelet linear prediction subband coding algorithm (WLPSC) is presented, by employing a wavelet filter bank based on the auditory model, which can greatly reduce the hoarse output of vocoders.
Abstract: It is very difficult but very important to get higher quantity at lower bit rate in the field of speech coding. Traditional vocoders, such as LPC10e and CELPC, can give acceptable results but suffer from a hoarse output. We attribute this problem to the inconsistency between the equal resolution characteristic of linear prediction throughout the whole frequency band and the characteristic of the human ear's unequal resolution at different frequency bands. In this paper, we present a new wavelet linear prediction subband coding algorithm (WLPSC), by employing a wavelet filter bank based on the auditory model. We divide the input speech signal into four subbands, and then code each subband respectively. Experimental results show that this algorithm can greatly reduce the hoarse output of vocoders.

2 citations


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