Entropy-constrained quantization of exponentially damped sinusoids parameters

Olivier Derrien (1, 2) , Roland Badeau (3, 4) , Gael Richard (3, 4)

1 UTLN - Université de Toulon
2 LMA - Laboratoire de Mécanique et d'Acoustique [Marseille]
3 LTCI - Laboratoire Traitement et Communication de l'Information
4 TSI - Département Traitement du Signal et des Images

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.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

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⟩