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Advances in Sinusoidal Analysis/Synthesis-based Error Concealment in Audio Networking

This paper investigates error concealment based on sinusoidal analysis and synthesis. Major shortcomings are identified with focus on the extraction of sinusoidal frequency evolution and sinusoid matching, and a new approach to frame loss concealment is proposed. It involves parallel Fourier transformation with long and short windows to accurately extract model parameters, and is complemented with two sinusoid matching techniques -- sinusoidal pair alignment by dynamic programming and harmonics-based matching. Moreover, due to the incompatibility of sinusoidal representation with broadband, noise-like signals, an alternative, ``sinusoids plus residual'' model is incorporated. The new algorithm was applied to CD quality audio of various genres and was demonstrated to improve the perceptual quality with considerable gains for non-transient frames.

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