On Initial Seed Selection for Frequency Domain Blind Speech Separation

D.H. Tran Vu, R. Haeb-Umbach, in: Interspeech 2011, 2011.

Conference Paper | English
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In this paper we address the problem of initial seed selection for frequency domain iterative blind speech separation (BSS) algorithms. The derivation of the seeding algorithm is guided by the goal to select samples which are likely to be caused by source activity and not by noise and at the same time originate from different sources. The proposed algorithm has moderate computational complexity and finds better seed values than alternative schemes, as is demonstrated by experiments on the database of the SiSEC2010 challenge.
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Interspeech 2011
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Tran Vu DH, Haeb-Umbach R. On Initial Seed Selection for Frequency Domain Blind Speech Separation. In: Interspeech 2011. ; 2011.
Tran Vu, D. H., & Haeb-Umbach, R. (2011). On Initial Seed Selection for Frequency Domain Blind Speech Separation. In Interspeech 2011.
@inproceedings{Tran Vu_Haeb-Umbach_2011, title={On Initial Seed Selection for Frequency Domain Blind Speech Separation}, booktitle={Interspeech 2011}, author={Tran Vu, Dang Hai and Haeb-Umbach, Reinhold}, year={2011} }
Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “On Initial Seed Selection for Frequency Domain Blind Speech Separation.” In Interspeech 2011, 2011.
D. H. Tran Vu and R. Haeb-Umbach, “On Initial Seed Selection for Frequency Domain Blind Speech Separation,” in Interspeech 2011, 2011.
Tran Vu, Dang Hai, and Reinhold Haeb-Umbach. “On Initial Seed Selection for Frequency Domain Blind Speech Separation.” Interspeech 2011, 2011.

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