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A Computationally Efficient CELP Codec with Stochastic Vectorquantisation of LPC Parameters

R. Salami, Lajos Hanzo, D.G. Appleby

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Abstract

In this contribution, computationally efficient CELP structures are proposed for low-complexity speech coding below 6.4Kbits/s. We also report on a new approach for low bit rate speech coding using binary excitation pulses, which delivers the quality of the CELP codec without the excitation codebook storage, and with a very simple excitation determination procedure. Furthermore, we propose a switched-adaptive stochastic vector quantisation scheme for quantising the line spectrum frequencies using 22 bits without any perceivable spectral distortion.

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In this contribution, computationally efficient CELP structures are proposed for low-complexity speech coding below 6.4Kbits/s. We also report on a new approach for low bit rate speech coding using binary excitation pulses, which delivers the quality of the CELP codec without the excitation codebook storage, and with a very simple excitation determination procedure. Furthermore, we propose a switched-adaptive stochastic vector quantisation scheme for quantising the line spectrum frequencies using 22 bits without any perceivable spectral distortion.

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Available abstract

In this contribution, computationally efficient CELP structures are proposed for low-complexity speech coding below 6.4Kbits/s. We also report on a new approach for low bit rate speech coding using binary excitation pulses, which delivers the quality of the CELP codec without the excitation codebook storage, and with a very simple excitation determination procedure. Furthermore, we propose a switched-adaptive stochastic vector quantisation scheme for quantising the line spectrum frequencies using 22 bits without any perceivable spectral distortion.

Key concepts: Code-excited linear prediction, Adaptive Multi-Rate audio codec, Speech coding, Codec2, Vector sum excited linear prediction, Linear predictive coding, Computer science, Harmonic Vector Excitation Coding

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