Voice Activity Detection Algorithm using Fuzzy Membership Shifted C-means Clustering in Low SNR Environment

Lee, G.H.; Lee, Y.J.; Cho, J.H.; Kim, M.N.

doi:10.9717/kmms.2014.17.3.312

Cited by 3 publications

(1 citation statement)

References 5 publications

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“…Fuzzy control has the advantage of allowing the use of vague linguistic terms in the rules that control various systems. Also, because it does not provide an exact mathematical model of a system, fuzzy logic can be applied to uncertain systems and various variable speed systems [11,12].…”

Section: Fuzzy Control Algorithm For the Control Of Vacuum Pressurementioning

confidence: 99%

Oswestry Disability Analysis of Fuzzy Control Multi-cup Electric Cupping System

Kim¹,

Ko²,

Wei³

et al. 2015

Journal of Korea Multimedia Society

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A multi-cup electric cupping system (MECS) was proposed, based on the ancient cupping method. MECS consisted of several cups that could be used simultaneously to treat 85 lumbago patients. Each cup was equipped with its own pump and pressure-monitoring system. The vacuum pressure of the cups was controlled using fuzzy logic. Through automated control of the vacuum pressure, long-term relief of muscle tightness was achieved. To develop a scientific foundation for this alternative treatment, we compared the Oswestry Disability Index (ODI) scores from conventional basic cupping to the ODI scores for our proposed MECS. The ODI scores using MECS decreased from 11.71 ± 1.61 before treatment to 4.81 ± 1.48 and 1.87 ± 1.61 after three and five treatments, respectively. The improvement rate in the ODI scores using MECS after three treatments was higher than that achieved by basic cupping. These results, combined with the convenience offered by enhanced information technology and fuzzy logic capabilities, should increase the efficiency of this device, and facilitate the opportunity to further explore the potential of Oriental medical practices.

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Section: Fuzzy Control Algorithm For the Control Of Vacuum Pressurementioning

confidence: 99%

Oswestry Disability Analysis of Fuzzy Control Multi-cup Electric Cupping System

Kim¹,

Ko²,

Wei³

et al. 2015

Journal of Korea Multimedia Society

View full text Add to dashboard Cite

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Voice Activity Detection based on Adaptive Band-Partitioning using the Likelihood Ratio

Kim

Shim²,

Lee

2014

Journal of Korea Multimedia Society

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Adaptive Noise Canceller for Speech Enhancement Using 2-D Binary Mask

Lee¹,

Lee²,

Cho³

et al. 2016

Journal of Korea Multimedia Society

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Speech enhancement algorithm plays an important role in numerous speech signal processing applications. Over the last few decades, many algorithms have been studied for speech enhancement.The algorithms are based on spectral subtraction, Wiener filter, and subspace method etc. They have good performance of speech enhancement, but the performance can be deteriorated in specific noises or low SNR environment. In this paper, a new speech enhancement algorithms are proposed based on adaptive noise canceller. And the proposed algorithm improved performance of adaptive noise cancelling using 2-D binary mask.From objective experimental index, it is confirmed that the proposed algorithm is useful and has better performance than recently proposed speech enhancement algorithms.

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Voice Activity Detection Algorithm using Fuzzy Membership Shifted C-means Clustering in Low SNR Environment

Cited by 3 publications

References 5 publications

Oswestry Disability Analysis of Fuzzy Control Multi-cup Electric Cupping System

Oswestry Disability Analysis of Fuzzy Control Multi-cup Electric Cupping System

Voice Activity Detection based on Adaptive Band-Partitioning using the Likelihood Ratio

Adaptive Noise Canceller for Speech Enhancement Using 2-D Binary Mask

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