An adaptive approach for contextual audio denoising using local Fisher information

Alexandre L. M Levada; Debora C. Correa

doi:10.1109/ISCAS.2011.5937517

An adaptive approach for contextual audio denoising using local Fisher information

Alexandre L. M Levada, Debora C. Correa

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

1 Citation (Scopus)

Abstract

This paper presents a novel adaptive technique for audio signal denoising based on the extension of the pointwise Wiener filter through the minimization of the local Fisher information. The solution obtained by the resulting filter can be interpreted as a tradeoff between the minimization of the local mean square error and the minimization of the local observed Fisher information, since it is a linear convex combination of the two conditions. To evaluate the performance of the denoising task we use four quantitative metrics: the Peak Signal-To-Noise Ratio (PSNR), the Improvement in Signal-To-Noise Ratio (ISNR), the Noise-Reduction Ratio (NRR) and the Signal-To-Distortion Ratio (SDR). The obtained results show the effectiveness of the proposed generalized filter.

Original language	English
Title of host publication	2011 IEEE International Symposium of Circuits and Systems
Editors	Albert Wang, Hoi Lee, Gabriel Rincón-Mor
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	125-128
Number of pages	4
ISBN (Print)	9781424494736
DOIs	https://doi.org/10.1109/ISCAS.2011.5937517
Publication status	Published - 2011
Externally published	Yes
Event	2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011 - Rio de Janeiro, Brazil Duration: 15 May 2011 → 18 May 2011

Conference

Conference	2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011
Country/Territory	Brazil
City	Rio de Janeiro
Period	15/05/11 → 18/05/11

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10.1109/ISCAS.2011.5937517

Cite this

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title = "An adaptive approach for contextual audio denoising using local Fisher information",

abstract = "This paper presents a novel adaptive technique for audio signal denoising based on the extension of the pointwise Wiener filter through the minimization of the local Fisher information. The solution obtained by the resulting filter can be interpreted as a tradeoff between the minimization of the local mean square error and the minimization of the local observed Fisher information, since it is a linear convex combination of the two conditions. To evaluate the performance of the denoising task we use four quantitative metrics: the Peak Signal-To-Noise Ratio (PSNR), the Improvement in Signal-To-Noise Ratio (ISNR), the Noise-Reduction Ratio (NRR) and the Signal-To-Distortion Ratio (SDR). The obtained results show the effectiveness of the proposed generalized filter.",

author = "Levada, {Alexandre L. M} and Correa, {Debora C.}",

year = "2011",

doi = "10.1109/ISCAS.2011.5937517",

language = "English",

isbn = "9781424494736",

pages = "125--128",

editor = "Albert Wang and Hoi Lee and { Rinc{\'o}n-Mor}, Gabriel",

booktitle = "2011 IEEE International Symposium of Circuits and Systems",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011 ; Conference date: 15-05-2011 Through 18-05-2011",

}

Levada, ALM & Correa, DC 2011, An adaptive approach for contextual audio denoising using local Fisher information. in A Wang, H Lee & G Rincón-Mor (eds), 2011 IEEE International Symposium of Circuits and Systems., 5937517, IEEE, Institute of Electrical and Electronics Engineers, pp. 125-128, 2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011, Rio de Janeiro, Brazil, 15/05/11. https://doi.org/10.1109/ISCAS.2011.5937517

An adaptive approach for contextual audio denoising using local Fisher information. / Levada, Alexandre L. M; Correa, Debora C.
2011 IEEE International Symposium of Circuits and Systems. ed. / Albert Wang; Hoi Lee; Gabriel Rincón-Mor. IEEE, Institute of Electrical and Electronics Engineers, 2011. p. 125-128 5937517.

Research output: Chapter in Book/Conference paper › Conference paper › peer-review

TY - GEN

T1 - An adaptive approach for contextual audio denoising using local Fisher information

AU - Levada, Alexandre L. M

AU - Correa, Debora C.

PY - 2011

Y1 - 2011

N2 - This paper presents a novel adaptive technique for audio signal denoising based on the extension of the pointwise Wiener filter through the minimization of the local Fisher information. The solution obtained by the resulting filter can be interpreted as a tradeoff between the minimization of the local mean square error and the minimization of the local observed Fisher information, since it is a linear convex combination of the two conditions. To evaluate the performance of the denoising task we use four quantitative metrics: the Peak Signal-To-Noise Ratio (PSNR), the Improvement in Signal-To-Noise Ratio (ISNR), the Noise-Reduction Ratio (NRR) and the Signal-To-Distortion Ratio (SDR). The obtained results show the effectiveness of the proposed generalized filter.

AB - This paper presents a novel adaptive technique for audio signal denoising based on the extension of the pointwise Wiener filter through the minimization of the local Fisher information. The solution obtained by the resulting filter can be interpreted as a tradeoff between the minimization of the local mean square error and the minimization of the local observed Fisher information, since it is a linear convex combination of the two conditions. To evaluate the performance of the denoising task we use four quantitative metrics: the Peak Signal-To-Noise Ratio (PSNR), the Improvement in Signal-To-Noise Ratio (ISNR), the Noise-Reduction Ratio (NRR) and the Signal-To-Distortion Ratio (SDR). The obtained results show the effectiveness of the proposed generalized filter.

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DO - 10.1109/ISCAS.2011.5937517

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SP - 125

EP - 128

BT - 2011 IEEE International Symposium of Circuits and Systems

A2 - Wang, Albert

A2 - Lee, Hoi

A2 - Rincón-Mor, Gabriel

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - 2011 IEEE International Symposium of Circuits and Systems, ISCAS 2011

Y2 - 15 May 2011 through 18 May 2011

ER -

An adaptive approach for contextual audio denoising using local Fisher information

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