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Conference Papers Year : 2011

Entropy-constrained quantization of exponentially damped sinusoids parameters

Abstract

Sinusoidal modeling is traditionally one of the most popular techniques for low bitrate audio coding. Usually, the sinusoidal parameters are kept constant within a time segment but the exponentially damped sinusoidal (EDS) model is also an efficient alternative. However, the inclusion of an additional damping parameter calls for a specific quantization scheme. In this paper, we propose an asymptotically optimal entropy-constrained quantization method for amplitude, phase and damping parameters. We show that this scheme is nearly optimal in terms of rate-distortion trade-off. We also show that damping consumes the smallest part of the total entropy of quantization indexes, which suggests that the EDS model is truly efficient for audio coding.
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Dates and versions

hal-00881717 , version 1 (08-11-2013)

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Olivier Derrien, Roland Badeau, Gael Richard. Entropy-constrained quantization of exponentially damped sinusoids parameters. 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2011, Prague, Czech Republic. pp.4064-4067, ⟨10.1109/ICASSP.2011.5947245⟩. ⟨hal-00881717⟩
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