|1/2010 - 8|
Digital Adaptive Echo-Canceller for Room Acoustics ImprovementTOPA, M. D. , MURESAN, I. , KIREI, B. S. , HOMANA, I.
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adaptive system identification, echo-canceller, reverberation, room acoustics, sub-band filtering
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About this article
Date of Publication: 2010-02-27
Volume 10, Issue 1, Year 2010, On page(s): 50 - 53
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2010.01008
Web of Science Accession Number: 000275458900008
SCOPUS ID: 77954686033
This paper presents a method to cancel the echoes generated by reflections in a room. The starting point is the full-band adaptive system identification method, where the unknown system is the room, providing several reflections of the sound. A sub-band filtering method is proposed and all the aspects regarding the filter banks, the structure, the number of sub-bands and the order of the required filters are analyzed. The performance is studied with respect to the provided error and the echo return loss enhancement. The asymmetric structure sub-band filtering offers a better performance than the full-band implementation. Increasing the number of sub-bands will also enhance the performance of the system.
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 A novel sub-band adaptive filtering for acoustic echo cancellation based on empirical mode decomposition algorithm, He, Xiaochuan, Goubran, Rafik A., Liu, Peter X., International Journal of Speech Technology, ISSN 1381-2416, Issue 1, Volume 17, 2014.
Digital Object Identifier: 10.1007/s10772-013-9203-7 [CrossRef]
 Rapid Prototyping of Sub-band Acoustic Echo Cancellers on FPGA Platforms, MURESAN, I., KIREI, B. S., CONTAN, C., TOPA, M. D., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 3, Volume 13, 2013.
Digital Object Identifier: 10.4316/AECE.2013.03008 [CrossRef] [Full text]
 Blind Source Separation for Convolutive Mixtures with Neural Networks, KIREI, B. S., TOPA, M. D., MURESAN, I., HOMANA, I., TOMA, N., Advances in Electrical and Computer Engineering, ISSN 1582-7445, Issue 1, Volume 11, 2011.
Digital Object Identifier: 10.4316/AECE.2011.01010 [CrossRef] [Full text]
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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