Low-complexity multi-rate lattice vector quantization with application to wideband TCX speech coding at 32 kbit/s

Ragot, S.; Bessette, B.; Lefebvre, Rémi

doi:10.1109/icassp.2004.1326032

Cited by 26 publications

(22 citation statements)

References 4 publications

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“…In [3] author used only even value lattice points of E 8 lattice with ball type expansion for mobile audio coding. In [4] quantization technique proved efficient for TCX coding of wideband speech signals at 16KBITS/S, while in [5] voronoi extension for extending fixed rate lattice codebooks in bit rate and support region is used for wideband TCX speech coding with 32KBITS/S. A scaling procedure is required to handle the overload in the largest codebook [4].…”

Section: Introductionmentioning

confidence: 99%

Lattice Vector Quantization for Image Coding Using Expansion of Codebook

Khandelwal¹

2012

IJMA

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We present a method for image coding which uses expansion of basic codebook, based on energy of the vectors, for assigning lattice points to the incoming vectors. Two expansions of the basic codebook are used. Since in this method range or radius of the codebooks is based on the energy of the vectors of input image, for different test images we get different basic and expansion codebooks. If the radius of the codebook is very small then mapping of many points may be beyond the range of the codebook, if the radius is very large then time taken to find out the nearest lattice points may be more. So by using this method problem of lattice codebook overload can be bypassed as well as search of vector is reduced because instead of using one small or large codebook, codebook is expanded as and when required. Perceptual performance of peppers, barbara and goldhill images are shown with their MSE and PSNR. Execution time required getting reconstructed image using single codebook and expanded codebook is compared.

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Section: Introductionmentioning

confidence: 99%

Lattice Vector Quantization for Image Coding Using Expansion of Codebook

Khandelwal¹

2012

IJMA

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“…Most of the lattice based coding methods rely on fixed rate coding or on a semi-variable rate coding where the vector to be quantized is split in several sub-blocks for which the rate is variable, but the overall bit rate for the global vector is fixed (Ragot et al, 2004). There exist also variable rate encoding techniques of lattice codevectors.…”

Section: Introductionmentioning

confidence: 99%

“…State of the art speech codecs as AMR-WB+ (Ragot et al, 2004) and G.718 (Rämö et al, 2008) codec make use of its advantages. Audio coding methods based on lattice quantization have been as well proposed (Vasilache & Toukomaa, 2006).…”

Section: Introductionmentioning

confidence: 99%

New Directions in Lattice Based Lossy Compression

Vasilache¹

2010

Signal Processing

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“…In time-domain mode, the input signal is encoded using an Adaptive Multi-Rate -Wideband(AMR-WB) speech coding standard [2]. In frequency-domain mode, a weighted version of the input signal is encoded in the discrete Fourier transform (DFT) domain using TCX [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Efficient Windowing Scheme for MDCT-Based TCX in AMR-WB+

Lee¹,

Park²,

Youn³

et al. 2011

IEICE Trans. Inf. & Syst.

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SUMMARYAlthough the AMR-WB+ coder provides excellent quality for speech signal, its coding model for music signals is not as optimal as the HE-AAC v2. The main causes of the poor quality of the AMR-WB+ TCX are the non-critical sampling and block artifacts. The new TCX windowing scheme proposed in this paper uses an MDCT with a 50% frame overlap, so that the problems of non-critical sampling and blocking artifacts are significantly mitigated. Due to long overlaps, the proposed scheme involves an additional codec delay. It is, however, moderate for audio services. The results of objective and subjective tests indicate that the proposed scheme achieves noticeable quality improvements for music signals over the previous TCX schemes.

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Low-complexity multi-rate lattice vector quantization with application to wideband TCX speech coding at 32 kbit/s

Cited by 26 publications

References 4 publications

Lattice Vector Quantization for Image Coding Using Expansion of Codebook

Lattice Vector Quantization for Image Coding Using Expansion of Codebook

New Directions in Lattice Based Lossy Compression

Efficient Windowing Scheme for MDCT-Based TCX in AMR-WB+

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