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The role of high frequencies in convolutive blind source separation of speech signals. (English) Zbl 1173.94366
Davies, Mike E. (ed.) et al., Independent component analysis and signal separation. 7th international conference, ICA 2007, London, UK, September 9–12, 2007. Proceedings. Berlin: Springer (ISBN 978-3-540-74493-1/pbk). Lecture Notes in Computer Science 4666, 488-494 (2007).
Summary: In this paper, we investigate the importance of the high frequencies in the problem of convolutive blind source separation (BSS) of speech signals. In particular, we focus on frequency domain blind source separation (FD-BSS), and show that when separation is performed in the low frequency bins only, the recovered signals are similar in quality to those extracted when all frequencies are taken into account. The methods are compared through informal listening tests, as well as using an objective measure.
For the entire collection see [Zbl 1129.94002].
MSC:
94A12 Signal theory (characterization, reconstruction, filtering, etc.)
Software:
BSS Eval
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