"2013-01-01+01:00"^^ . . "10.1109/ICASSP.2013.6637734" . . . "IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA" . "000329611500138" . "5"^^ . . "RIV/46747885:24220/13:#0002871" . "Vancouver, CANADA" . "Botka, David" . . "P(GAP103/11/1947)" . . "24220" . "Noise Reduction in Dual-Microphone Mobile Phones Using A Bank of Pre-Measured Target-Cancellation Filters"@en . "Koldovsk\u00FD, Zbyn\u011Bk" . . "Noise Reduction in Dual-Microphone Mobile Phones Using A Bank of Pre-Measured Target-Cancellation Filters"@en . "Noise Reduction in Dual-Microphone Mobile Phones Using A Bank of Pre-Measured Target-Cancellation Filters" . "http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=OneClickSearch&qid=15&SID=R2AScTwajtiw8IC62ji&page=1&doc=1" . . "RIV/46747885:24220/13:#0002871!RIV14-GA0-24220___" . "In this paper, a novel method of noise reduction for dual-microphone mobile phones is proposed. The method is based on a set (bank) of target-cancellation filters derived in a noise-free situation for different possible positions of the phone with respect to the speaker mouth. Next, a novel construction of the target-cancellation filter is proposed, which is suitable for the application. The set of the cancellation filters is used to accurately estimate the noise of the environment, which is then subtracted from the recorded signal via standard Wiener filter or a power level difference method. Experiments with recorded data show a good performance and low complexity of the system, making it possible for an integration into mobile communication devices."@en . "Noise Reduction"@en . . "91886" . . . . "In this paper, a novel method of noise reduction for dual-microphone mobile phones is proposed. The method is based on a set (bank) of target-cancellation filters derived in a noise-free situation for different possible positions of the phone with respect to the speaker mouth. Next, a novel construction of the target-cancellation filter is proposed, which is suitable for the application. The set of the cancellation filters is used to accurately estimate the noise of the environment, which is then subtracted from the recorded signal via standard Wiener filter or a power level difference method. Experiments with recorded data show a good performance and low complexity of the system, making it possible for an integration into mobile communication devices." . . "Tichavsk\u00FD, P." . "IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)" . "2"^^ . "3"^^ . . "[3936B93ECD2E]" . "1520-6149" . "Noise Reduction in Dual-Microphone Mobile Phones Using A Bank of Pre-Measured Target-Cancellation Filters" . . . "978-1-4799-0356-6" .