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Notice of Violation of IEEE Publication Principles
"Active Noise Control for Real Time Blind Speech Mining Using Single-Channel Noise"
by S.F. Islam, M.-U.-S Shameem, A.H.M. Saiful Islam, S.A. Sagor, T.M. Nazmul Huda
in the Proceedings of the First Asian Himalayas International Conference on Internet, 2009 November 2009
After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.
This paper contains significant portions of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.
Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:
"An Adaptive Blind Beamformer with an Integrated Single-channel Noise Reduction Method for Robust Realtime Blind Speech Extraction"
by Benny Sallberg, Nedelko Grbic, and Ingvar Claesson
in the Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, March 2008, pp. 309-312
Spatial beamformers are capable of enhancing the quality of speech in extreme noisy environments. This research paper shows a result using a method called low complexity single-channel noise reduction for the reason of strong blind speech removal in extreme noisy environments which is incorporated into responsive direct loop of an adaptive blind beamformer. The given shared system describe each of the individual techniques by means of SIR (signal-to-interference ratio) enhancement for a broad range of functioning orders and at the same time the noise with in the speech is reasonably stumpy. Moreover, the hardware of a given model is relatively not suitable extra processing load.