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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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Clarivate Analytics published the InCites Journal Citations Report for 2017. The JCR Impact Factor of Advances in Electrical and Computer Engineering is 0.699, and the JCR 5-Year Impact Factor is 0.674.

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With new technologies, such as mobile communications, internet of things, and wide applications of social media, organizations generate a huge volume of data, much faster than several years ago. Big data, characterized by high volume, diversity and velocity, increasingly drives decision making and is changing the landscape of business intelligence, from governments to private organizations, from communities to individuals. Big data analytics that discover insights from evidences has a high demand for computing efficiency, knowledge discovery, problem solving, and event prediction. We dedicate a special section of Issue 4/2017 to Big Data. Prospective authors are asked to make the submissions for this section no later than the 31st of May 2017, placing "BigData - " before the paper title in OpenConf.

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  3/2011 - 6

A Combined Feedback and Noise Cancellation Algorithm for Binaural Hearing Aids

LEE, H.-W. See more information about LEE, H.-W. on SCOPUS See more information about LEE, H.-W. on IEEExplore See more information about LEE, H.-W. on Web of Science, JEON, M.-Y. See more information about JEON, M.-Y. on SCOPUS See more information about JEON, M.-Y. on SCOPUS See more information about JEON, M.-Y. on Web of Science
Click to see author's profile in See more information about the author on SCOPUS SCOPUS, See more information about the author on IEEE Xplore IEEE Xplore, See more information about the author on Web of Science Web of Science

Download PDF pdficon (726 KB) | Citation | Downloads: 813 | Views: 3,339

Author keywords
hearing aids, feedback, noise reduction, acoustic beam, microphone array

References keywords
hearing(14), aids(14), feedback(12), processing(7), cancellation(7), adaptive(7), speech(5), signal(5), audio(4), acoustic(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2011-08-31
Volume 11, Issue 3, Year 2011, On page(s): 35 - 40
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2011.03006
Web of Science Accession Number: 000296186700006
SCOPUS ID: 80055079154

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This paper proposes an adaptive algorithm for the combined acoustic feedback and noise cancellation in the binaural hearing aids. The proposed algorithm is based on dual microphones for feedback cancellation and the beamforming method for noise cancellation. The coefficients of feedback canceller are updated after subtracting the speech signal from the input signal by dual microphones. And the noise canceller reduces the noise signal in the residual signal excluding the speech by the beamforming method. Firstly, the feedback canceller operates to cancel the feedback signal in the microphone signal, and then the noise canceller operates to reduce the noise in the residual signal. Also, to assure the stable convergence of binaural hearing aids in the training mode, the coefficients of the left hearing aid are firstly updated, then the coefficients of the right hearing aid are updated. In the normal mode, the feedback and the noise canceller are operated without updating coefficients except an unstable case. To verify performances of the proposed algorithm, we analyzed its convergence behavior and simulated for real speech. From the results of simulations, it was proved that we can advance 14.43dB SFR(speech-to-feedback ratio) on average in the feedback canceller, 10.19dB SNR(speech-to-noise ratio) improvement on average in the noise canceller, in the case of applying the proposed algorithm.

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Cited-By ISI Web of Science

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SCOPUS® Times Cited: 3
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Cited-By CrossRef

[1] Dual microphone solution for acoustic feedback cancellation for assistive listening, Nakagawa, Carlos Renato C., Nordholm, Sven, Yan, Wei-Yong, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISBN 978-1-4673-0046-9, 2012.
Digital Object Identifier: 10.1109/ICASSP.2012.6287839

[2] A selective algorithm for the reduction of irregular noise in speech communication, Ramli, Roshahliza M, Samad, Salina Abdul, Abid Noor, Ali O., 2014 IEEE Student Conference on Research and Development, ISBN 978-1-4799-6428-4, 2014.
Digital Object Identifier: 10.1109/SCORED.2014.7072962

[3] A variable step size modified decorrelated NLMS algorithm for adaptive feedback cancellation in hearing aids, Rotaru, Marius, Albu, Felix, Coanda, Henri, 2012 10th International Symposium on Electronics and Telecommunications, ISBN 978-1-4673-1176-2, 2012.
Digital Object Identifier: 10.1109/ISETC.2012.6408070

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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania

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