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2008

Two-Microphone Separation of Speech Mixtures

8 years 3 months ago
Two-Microphone Separation of Speech Mixtures
Separation of speech mixtures, often referred to as the cocktail party problem, has been studied for decades. In many source separation tasks, the separation method is limited by the assumption of at least as many sensors as sources. Further, many methods require that the number of signals within the recorded mixtures be known in advance. In many real-world applications, these limitations are too restrictive. We propose a novel method for underdetermined blind source separation using an instantaneous mixing model which assumes closely spaced microphones. Two source separation techniques have been combined, independent component analysis (ICA) and binary time
Michael Syskind Pedersen, DeLiang Wang, Jan Larsen
Added 15 Dec 2010
Updated 15 Dec 2010
Type Journal
Year 2008
Where TNN
Authors Michael Syskind Pedersen, DeLiang Wang, Jan Larsen, Ulrik Kjems
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