Marie Oger

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In this paper we present a new model-based method to code the transform coef¿cients of audio signals. The histogram of transform coef¿cients is approximated by a generalized Gaussian model for ef¿cient model-based bit allocation and the spectrum is coded by scalar quantization followed by arithmetic coding. An example coder operating at 16 kHz and using(More)
In this paper we present a new model-based coding method to represent the linear-predictive coding (LPC) parameters of wideband speech signals (sampled at 16 kHz). The LPC coefficients are transformed into line spectrum frequencies (LSF) and quantized by switched AR(1)/MA(1) predictive Karhunen-Loeve transform (KLT) coding. Compared to previous work, the(More)
This paper proposes a new model-based method for transform coding of audio signals. The input signal is mapped in " perceptual " domain by linear-predictive weighting filter followed by modified discrete cosine transform (MDCT). To provide bitstream scalabil-ity, model-based bit plane coding is then applied with respect to the mean square error (MSE)(More)
Source coding based on Gaussian Mixture Models (GMM) has been recently proposed for LPC quantization. We address in this paper the related problem of designing efficient codebooks for Gaussian vector sources. A new technique of ellipsoidal lattice vector quantization (VQ) is described, based on 1) scalar companding optimized for Gaussian random variables(More)
This paper proposes a new bit plane coding method for signed integer sequences. This method consists in mapping successive bit planes onto quinary symbols (+,-, 0, 1, EoP), where the symbol " EoP " stands for " End of Plane " , and applying arithmetic coding. Sign bits are efficiently coded in combination with the corresponding most significant bit of(More)
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