2026-09-18T23:53:57Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/34281 2023-07-10 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Smaragdis, Paris Kang, Kang 2012-09-18T21:09:22Z 2012-09-18T21:09:22Z 2012-08 2012-09-18T21:09:22Z 2012-08 Blind source separation has been an area of study recently due to the many applications that might benefit from a good blind source separation algo- rithm. One instance is using blind source separation for audio denoising in cellular phones. In almost all instances, we have very little, if any, infor- mation about how background noise is mixed with the speaker’s voice in a given cell phone conversation. Current techniques include spectral subtrac- tion and Wiener filtering which are classical DSP techniques to deal with stationary noises. In this document, we aim to present a study on how to use blind source separation algorithms to denoise audio mixtures containing speech and various background noises. We mainly focus on how to imple- ment an online source separation algorithm which can handle non-stationary noises. To address the implementation, we also present a study on how to select the parameters in the separation algorithm in order to deliver the best performance for denoising using a statistical metric we have defined. Item withdrawn by Rebecca Bryant (rabryant@illinois.edu) on 2012-07-10T20:07:19Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 1 Kang_Kang.pdf: 1227057 bytes, checksum: 8e7f826826e1487a68ac0850062444eb (MD5) Made available in DSpace on 2012-09-18T21:09:22Z (GMT). No. of bitstreams: 2 Kang_Kang.pdf: 1227057 bytes, checksum: 8e7f826826e1487a68ac0850062444eb (MD5) license.txt: 4057 bytes, checksum: dd2871812bb1b33cef3b2cfae39ec9ab (MD5) http://hdl.handle.net/2142/34281 en Copyright 2012 Kang Kang Non-negative matrix factorization source separation spectral subtraction noise removal speech enhancement Online parameter selection for source separation using non-negative matrix factorization Electrical & Computer Eng 1933 Electrical & Computer Engr 1200 University of Illinois at Urbana-Champaign Thesis M.S. MS:Electr & Computer Eng-UIUC 10KS1200MS