{"_id":"11914","title":"Blind Speech Separation in Presence of Correlated Noise with Generalized Eigenvector Beamforming","department":[{"_id":"54"}],"user_id":"44006","citation":{"apa":"Tran Vu, D. H., &#38; Haeb-Umbach, R. (2008). Blind Speech Separation in Presence of Correlated Noise with Generalized Eigenvector Beamforming. <i>2008 ITG Conference on Voice Communication (SprachKommunikation)</i>, 1–4.","short":"D.H. Tran Vu, R. Haeb-Umbach, 2008 ITG Conference on Voice Communication (SprachKommunikation) (2008) 1–4.","chicago":"Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation in Presence of Correlated Noise with Generalized Eigenvector Beamforming.” <i>2008 ITG Conference on Voice Communication (SprachKommunikation)</i>, 2008, 1–4.","ieee":"D. H. Tran Vu and R. Haeb-Umbach, “Blind Speech Separation in Presence of Correlated Noise with Generalized Eigenvector Beamforming,” <i>2008 ITG Conference on Voice Communication (SprachKommunikation)</i>, pp. 1–4, 2008.","mla":"Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “Blind Speech Separation in Presence of Correlated Noise with Generalized Eigenvector Beamforming.” <i>2008 ITG Conference on Voice Communication (SprachKommunikation)</i>, 2008, pp. 1–4.","ama":"Tran Vu DH, Haeb-Umbach R. Blind Speech Separation in Presence of Correlated Noise with Generalized Eigenvector Beamforming. <i>2008 ITG Conference on Voice Communication (SprachKommunikation)</i>. 2008:1-4.","bibtex":"@article{Tran Vu_Haeb-Umbach_2008, title={Blind Speech Separation in Presence of Correlated Noise with Generalized Eigenvector Beamforming}, journal={2008 ITG Conference on Voice Communication (SprachKommunikation)}, author={Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2008}, pages={1–4} }"},"date_created":"2019-07-12T05:30:42Z","status":"public","year":"2008","author":[{"first_name":"Dang Hai","full_name":"Tran Vu, Dang Hai","last_name":"Tran Vu"},{"first_name":"Reinhold","full_name":"Haeb-Umbach, Reinhold","id":"242","last_name":"Haeb-Umbach"}],"abstract":[{"text":"This paper considers the convolutive blind source separation of speech sources in the presence of spatially correlated noise. We introduce a method for estimating the scaled mixing matrix from the sources to the microphones even if coherent noise is present. This is achieved by combining time-frequency sparseness with the generalized eigenvalue decomposition of the power spectral density matrix (PSD) of the noisy speech and noise-only microphone signals. Separation is performed by spatial filtering with coefficients constructed by Gram-Schmidt orthogonalization which places spatial nulls at the interferer{^A}?`s direction. Experimental results show that our approach is capable of separating 2 sources in a reverberant environment (RT60=0ms..500ms) degraded by significant directional noise.","lang":"eng"}],"oa":"1","page":"1-4","type":"journal_article","date_updated":"2022-01-06T06:51:12Z","publication":"2008 ITG Conference on Voice Communication (SprachKommunikation)","language":[{"iso":"eng"}],"main_file_link":[{"url":"https://groups.uni-paderborn.de/nt/pubs/2008/DaHa08.pdf","open_access":"1"}]}