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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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PatentDOI
TL;DR: A codec uses low cost digital signal processors (DSPs) to implement the codebook excited linear prediction (CELP) algorithm and the flexible architecture provides a platform for implementing a family of CELP codecs.
Abstract: A codec uses low cost digital signal processors (DSPs) to implement the codebook excited linear prediction (CELP) algorithm. The flexible architecture provides a platform for implementing a family of CELP codecs. In a specific example, an 8 Kbps CELP codec is partitioned into parallel tasks for real time implementation on dual DSPs with flexible intertask communication, prioritization and synchronization with asynchronous transmit and receive frame timings. The two DSPs are used in a master-slave pair. Each DSP has its own local memory. The DSPs communicate to each other through interrupts. Messages are passed through a dual port RAM. Each dual port RAM has separate sections for command-response and for data.

39 citations

Journal ArticleDOI
TL;DR: This work proposes a novel multiple description-coding method for concealing packet losses in transmitting low bit rate-coded speech and can adapt its number of descriptions dynamically to network-loss conditions.
Abstract: A fundamental issue in real-time interactive voice transmissions over unreliable IF networks is the loss or late arrival of packets for playback. This problem is especially serious when transmitting low bit rate-coded speech with pervasive dependencies introduced. In this case, the loss or late arrival of a single packet will lead to the loss of subsequent dependent frames. We study end-to-end loss-concealment schemes for ensuring high quality in playback. We propose a novel multiple description-coding method for concealing packet losses in transmitting low bit rate-coded speech. Based on high correlations observed in linear predictor parameters-in the form of Line Spectral Pairs (LSPs)-of adjacent frames, we generate multiple descriptions in senders by interleaving LSPs, and reconstruct lost LSPs in receivers by linear interpolations. As excitation codewords have low correlations, we further enlarge the segment size for excitation generation and replicate excitation codewords in all the descriptions in order to maintain the same transmission bandwidth. Our proposed scheme can be extended easily to more than two descriptions and can adapt its number of descriptions dynamically to network-loss conditions. Experimental results on FS-1016 CELP, ITU G.723.1, and FS MELP coders show good performance of our scheme.

39 citations

Patent
24 Oct 2003
TL;DR: In this paper, an apparatus and method for mapping CELP parameters between a source codec and a destination codec is presented, which consists of an LSP mapping module, an adaptive codebook mapping module coupled to the LSP, and a fixed codebook map module coupled with the LP overflow module.
Abstract: An apparatus and method for mapping CELP parameters between a source codec and a destination codec. The apparatus includes an LSP mapping module, an adaptive codebook mapping module coupled to the LSP mapping module, and a fixed codebook mapping module coupled to the LSP mapping module and the adaptive codebook mapping module. The LSP mapping module includes an LP overflow module and an LSP parameter modification module. The adaptive codebook mapping module includes a first pitch gain codebook. The fixed codebook mapping module includes a first target processing module, a pulse search module, a fixed codebook gain estimation module, a pulse position searching module.

39 citations

Patent
10 Jul 2004
TL;DR: In this article, a speech encoder that analyzes and classifies each frame of speech as being periodic-like speech or non-periodic like speech is presented, where the encoder performs a different gain quantization process depending if the speech is periodic or not.
Abstract: A speech encoder that analyzes and classifies each frame of speech as being periodic-like speech or non-periodic like speech where the speech encoder performs a different gain quantization process depending if the speech is periodic or not. If the speech is periodic, the improved speech encoder obtains the pitch gains from the unquantized weighted speech signal and performs a pre-vector quantization of the adaptive codebook gain GP for each subframe of the frame before subframe processing begins and a closed-loop delayed decision vector quantization of the fixed codebook gain GC. If the frame of speech is non-periodic, the speech encoder may use any known method of gain quantization. The result of quantizing gains of periodic speech in this manner results in a reduction of the number of bits required to represent the quantized gain information and for periodic speech, the ability to use the quantized pitch gain for the current subframe to search the fixed codebook for the fixed codebook excitation vector for the current subframe. Alternatively, the new gain quantization process which was used only for periodic signals may be extended to non-periodic signals as well. This second strategy results in a slightly higher bit rate than that for periodic signals that use the new gain quantization strategy, but is still lower than the prior art's bit rate. Yet another alternative is to use the new gain quantization process for all speech signals without distinguishing between periodic and non-periodic signals.

38 citations

Journal ArticleDOI
TL;DR: A new method for rate variation based on a measure of subband spectral flatness, called spectral entropy, which is a normalized indicator of the texture of the input spectrum and is thus less dependent on speech and background noise energy variations.
Abstract: Code-excited linear prediction (CELP) is the predominant methodology for communications quality speech coding below 8 kbps, and several variable-rate CELP schemes have been discussed in the literature, including QCELP, the variable-rate wideband digital cellular mobile radio speech coding standard specified in IS-95. A key component of these speech coders is the detection and classification of speech activity, and several cues for rate variation have been studied, such as measuring the short-term speech energy, deciding whether the speech is voiced or unvoiced, or making more sophisticated phonetic classifications. We present a new method for rate variation based on a measure of subband spectral flatness, called spectral entropy. Spectral entropy is a normalized indicator of the texture of the input spectrum and is thus less dependent on speech and background noise energy variations. We present some results on the use of spectral entropy for voice activity detection across subbands and then evaluate using spectral entropy for deriving mode and rate allocation cues for a variable-rate CELP coder operating at an average rate of 2 kbps. To achieve communications quality speech at this rate, we develop a new split-band vector quantization (VQ) technique for representing the line spectral pairs and a multiple codebook approach for efficiently quantizing the coefficients of a three-tap pitch predictor, called lag-indexed VQ.

38 citations


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