Abstract
Abstract It was recently shown that delta-sigma quantization (DSQ) can be used for optimal multiple description (MD) coding of Gaussian sources. The DSQ scheme combined oversampling, prediction, and noise-shaping in order to trade off side distortion for central distortion in MD coding. It was shown that asymptotically in the dimensions of the resampling, prediction, and noise-shaping filters as well as asymptotically in the quantizer dimensions, all rate-distortion points on the symmetric quadratic Gaussian MD rate-distortion function could be achieved. In this work, we show that this somewhat theoretical framework is suitable for practical low-delay MD audio coding. In particular, we design a practical MD audio coder with two descriptions and provide simulations on real audio data. The simulations demonstrate that even when using low-dimensional noise-shaping, prediction, and resampling filters, it is possible to obtain good quality audio in the presence of packet losses. Simulations on real audio reveal that, contrary to existing designs, it is straightforward to obtain a large number of trade-off points between side distortion and central distortion, which makes the proposed coder suitable for a wide range of applications.
Highlights
There is a growing interest in achieving reliable streaming of high-quality audio over networks for digital audio broadcast services, internet radio, youtube, and similar multimedia streaming services
In [10], it was shown that a tolerable music quality could be achieved even on unreliable networks having more than 30% packet dropouts by using multiple description (MD) audio coding between two and four descriptions
2 Background The MD predictive noise-shaped coder proposed in [13,14,15] consists of sampling rate conversion, encoders, noise-shaping, and decoding
Summary
There is a growing interest in achieving reliable streaming of high-quality audio over networks for digital audio broadcast services, internet radio, youtube, and similar multimedia streaming services. A predictive strategy for high-quality audio MD coding was presented in [12] and a noise-shaped strategy in [8], which are both able to achieve very low delays. A certain amount of redundancy is introduced, and by proper noise shaping of the quantization noise a trade-off between the reconstruction qualities due to receiving different subsets of descriptions is possible, cf Figure 1. We construct an efficient high-quality lowdelay MD coder based on the principles of oversampling, predictive coding, and noise shaping. The low-delay noise-shaped coder in [8] reveals a significant reduction of the coding rate, which is mainly due to the inclusion of individual description prediction loops
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