Entropy-constrained quantization of exponentially damped sinusoids parameters

Olivier Derrien; Roland Badeau; Gaël Richard

doi:10.1109/ICASSP.2011.5947245

Entropy-constrained quantization of exponentially damped sinusoids parameters

Olivier Derrien, Roland Badeau, Gaël Richard

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
Pages	4064-4067
Number of pages	4
DOIs	https://doi.org/10.1109/ICASSP.2011.5947245
Publication status	Published - 18 Aug 2011
Externally published	Yes
Event	36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, Czech Republic Duration: 22 May 2011 → 27 May 2011

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Country/Territory	Czech Republic
City	Prague
Period	22/05/11 → 27/05/11

Keywords

Entropy
Exponentially damped sinusoids
Parametric audio coding
Quantization

Access to Document

10.1109/ICASSP.2011.5947245

Cite this

Derrien, O., Badeau, R., & Richard, G. (2011). Entropy-constrained quantization of exponentially damped sinusoids parameters. In 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings (pp. 4064-4067). Article 5947245 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2011.5947245

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title = "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.",

keywords = "Entropy, Exponentially damped sinusoids, Parametric audio coding, Quantization",

author = "Olivier Derrien and Roland Badeau and Ga{\"e}l Richard",

year = "2011",

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doi = "10.1109/ICASSP.2011.5947245",

language = "English",

isbn = "9781457705397",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

pages = "4064--4067",

booktitle = "2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings",

note = "36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 ; Conference date: 22-05-2011 Through 27-05-2011",

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Derrien, O, Badeau, R & Richard, G 2011, Entropy-constrained quantization of exponentially damped sinusoids parameters. in 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings., 5947245, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, pp. 4064-4067, 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, Prague, Czech Republic, 22/05/11. https://doi.org/10.1109/ICASSP.2011.5947245

Entropy-constrained quantization of exponentially damped sinusoids parameters. / Derrien, Olivier; Badeau, Roland ; Richard, Gaël.
2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. 2011. p. 4064-4067 5947245 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - 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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KW - Parametric audio coding

KW - Quantization

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Derrien O, Badeau R , Richard G. Entropy-constrained quantization of exponentially damped sinusoids parameters. In 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings. 2011. p. 4064-4067. 5947245. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2011.5947245

Entropy-constrained quantization of exponentially damped sinusoids parameters

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