Bilateral sound denoising

Mitsuharu Matsumoto; Shuji Hashimoto

doi:10.1109/ICIME.2009.20

Bilateral sound denoising

Mitsuharu Matsumoto^*, Shuji Hashimoto

^*Corresponding author for this work

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

2 Citations (Scopus)

Abstract

This paper describes noise reduction based on a bilateral filter improved for an acoustical signal. A microphone array system has been utilized in various scenes. However, when we utilize the microphone array system in life space, the problem of back ground noise arises. Although the back ground noise is not always stationary, statistically independent or disjoint, the amplitude of the noise is usually small compared to the desired signal. Based on the aspects, we pay attention to a nonlinear filter called bilateral filter and apply it to an acoustical signal. Bilateral filter is known as a nonlinear filter for the image. It smoothes images while preserving edges. We improve bilateral filter for an acoustical signal and evaluate the performance of bilateral sound denoising. The experimental results show that the proposed method can reduce not only the stationary noise but also the nonstationary dependent noise.

Original language	English
Title of host publication	Proceedings - 2009 International Conference on Information Management and Engineering, ICIME 2009
Pages	119-123
Number of pages	5
DOIs	https://doi.org/10.1109/ICIME.2009.20
Publication status	Published - 2009
Event	2009 International Conference on Information Management and Engineering, ICIME 2009 - Kuala Lumpur Duration: 2009 Apr 3 → 2009 Apr 5

Other

Other	2009 International Conference on Information Management and Engineering, ICIME 2009
City	Kuala Lumpur
Period	09/4/3 → 09/4/5

ASJC Scopus subject areas

Computer Science Applications
Information Systems
Information Systems and Management

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10.1109/ICIME.2009.20

Cite this

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title = "Bilateral sound denoising",

abstract = "This paper describes noise reduction based on a bilateral filter improved for an acoustical signal. A microphone array system has been utilized in various scenes. However, when we utilize the microphone array system in life space, the problem of back ground noise arises. Although the back ground noise is not always stationary, statistically independent or disjoint, the amplitude of the noise is usually small compared to the desired signal. Based on the aspects, we pay attention to a nonlinear filter called bilateral filter and apply it to an acoustical signal. Bilateral filter is known as a nonlinear filter for the image. It smoothes images while preserving edges. We improve bilateral filter for an acoustical signal and evaluate the performance of bilateral sound denoising. The experimental results show that the proposed method can reduce not only the stationary noise but also the nonstationary dependent noise.",

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AU - Matsumoto, Mitsuharu

AU - Hashimoto, Shuji

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N2 - This paper describes noise reduction based on a bilateral filter improved for an acoustical signal. A microphone array system has been utilized in various scenes. However, when we utilize the microphone array system in life space, the problem of back ground noise arises. Although the back ground noise is not always stationary, statistically independent or disjoint, the amplitude of the noise is usually small compared to the desired signal. Based on the aspects, we pay attention to a nonlinear filter called bilateral filter and apply it to an acoustical signal. Bilateral filter is known as a nonlinear filter for the image. It smoothes images while preserving edges. We improve bilateral filter for an acoustical signal and evaluate the performance of bilateral sound denoising. The experimental results show that the proposed method can reduce not only the stationary noise but also the nonstationary dependent noise.

AB - This paper describes noise reduction based on a bilateral filter improved for an acoustical signal. A microphone array system has been utilized in various scenes. However, when we utilize the microphone array system in life space, the problem of back ground noise arises. Although the back ground noise is not always stationary, statistically independent or disjoint, the amplitude of the noise is usually small compared to the desired signal. Based on the aspects, we pay attention to a nonlinear filter called bilateral filter and apply it to an acoustical signal. Bilateral filter is known as a nonlinear filter for the image. It smoothes images while preserving edges. We improve bilateral filter for an acoustical signal and evaluate the performance of bilateral sound denoising. The experimental results show that the proposed method can reduce not only the stationary noise but also the nonstationary dependent noise.

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Bilateral sound denoising

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