A hybrid parametric-waveform approach to bit stream scalable audio coding

Riera-Palou, Felip; Brinker, A.C. den; Gerrits, A.J.

doi:10.1109/acssc.2004.1399568

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…[13], [51]). It is also possible to improve performance of parametric audio coders for transient signals by employing waveform approximating residual coding as done in [52], [53]. In such coding schemes, the residual coder may compensate for errors introduced by the sinusoidal coder.…”

Section: Discussionmentioning

confidence: 99%

Efficient parametric coding of transients

Christensen

Par

2006

IEEE Trans. Audio Speech Lang. Process.

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In this paper, methods for improved parametric coding of transients are presented. We propose a signal model for coding of transients consisting of a sum of sinusoids each being amplitude-modulated by a different gamma envelope. These envelopes are characterized by an onset time, an attack and a decay parameter. An efficient method for estimating these parameters is presented. Further, methods are proposed that combine this transient model with a constant-amplitude sinusoidal model in order to achieve efficient coding of both stationary and transient signal parts. By rate-distortion optimization using a perceptual distortion measure we combine variable rate bit allocation and segmentation in an optimal way. Formal as well as informal listening tests show that significant improvements can be achieved with the proposed model as compared to a state-of-the-art sinusoidal coder by the combination of optimal segmentation and amplitude modulated sinusoidal audio coding.

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Section: Discussionmentioning

confidence: 99%

Efficient parametric coding of transients

Christensen

Par

2006

IEEE Trans. Audio Speech Lang. Process.

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“…State-of-the-art scalable coding schemes generally combine aspects of parametric coding and signal quantization in an ad-hoc manner. Many recent audio coders use parametric techniques such as transient-sinusoid-noise coding [7], spectral band replication [8], bandwidth extension [9] at low rate, while they apply rate-distortion optimized quantization at high rate [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Distribution Preserving Quantization With Dithering and Transformation

Klejsa

Kleijn

2010

IEEE Signal Process. Lett.

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A new quantization scheme that preserves the probability distribution of the source signal is presented. The distribution preserving quantization (DPQ) achieves the optimal trade-off between mean square error and bit rate asymptotically. It provides a continuum ranging from rate-distortion optimal signal quantization to parametric coding. The method can be used as a core component for scalable coding. Its efficacy is illustrated by applying the scheme to audio coding.

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“…In the context of predictive coding, moreover, alternative formulations may be of interest. The 2-norm minimization shapes the residual into variables that exhibit Gaussian-like characteristics; however, so-called sparse coding techniques have been used, for example, in early GSM standards and more recently also in audio coding [4] to quantize the residual. In these techniques, notably the Multi-Pulse and Regular-Pulse Excitation methods (MPE and RPE) [5,6], the residual is encoded using only few nonzero pulses.…”

Section: Introductionmentioning

confidence: 99%