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The speech enhancement is based on a blind\u2010matched filtering algorithm that combines the microphone signals such that the output SNR is maximized. The algorithm is developed for spatially uncorrelated but nonuniform noise fields, that is, the noise signals at the different microphones are uncorrelated, but the noise power spectral densities can vary. However, no assumptions on the array geometry are made. The proposed method will be compared to the speech distortion\u2010weighted multichannel Wiener filter (SDW\u2010MWF). Similar to the SDW\u2010MWF, the new algorithm requires only estimates of the input signal to noise ratios and the input cross\u2010correlations. Hence, no explicit channel knowledge is necessary. A new version of the SDW\u2010MWF for spatially uncorrelated noise is developed which has a reduced computational complexity, because matrix inversions can be omitted. The presented blind\u2010matched filtering approach is similar to this SDW\u2010MWF for spatially uncorrelated noise but additionally achieves some improvements in the speech quality due to a partial equalization of the acoustic system.<\/jats:p>","DOI":"10.1155\/2012\/169853","type":"journal-article","created":{"date-parts":[[2012,9,19]],"date-time":"2012-09-19T21:05:38Z","timestamp":1348088738000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Blind\u2010Matched Filtering for Speech Enhancement with Distributed Microphones"],"prefix":"10.1155","volume":"2012","author":[{"given":"Sebastian","family":"Stenzel","sequence":"first","affiliation":[]},{"given":"J\u00fcrgen","family":"Freudenberger","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2012,9,19]]},"reference":[{"key":"e_1_2_12_1_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-70602-1"},{"key":"e_1_2_12_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/PROC.1972.8817"},{"key":"e_1_2_12_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/TAP.1982.1142739"},{"key":"e_1_2_12_4_2","doi-asserted-by":"publisher","DOI":"10.1155\/S1110865703305098"},{"key":"e_1_2_12_5_2","unstructured":"GerkmannT.andMartinR. 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