Blind separation of convolutive mixtures by decorrelation
Signal Processing
Time difference of arrival estimation of speech source in a noisy and reverberant environment
Signal Processing - Content-based image and video retrieval
EURASIP Journal on Applied Signal Processing
Empirical methods to determine the number of sources in single-channel musical signals
IEEE Transactions on Audio, Speech, and Language Processing
A multistage approach to blind separation of convolutive speech mixtures
Speech Communication
Second-order blind signal separation with optimal step size
Speech Communication
Modulation domain blind speech separation in noisy environments
Speech Communication
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This paper addresses the issue of separating multiple speakers from mixtures of these that are obtained using multiple microphones in a room. An adaptive blind signal separation algorithm, which is entirely based on second-order statistics, is derived. One of the advantages of this algorithm is that no parameters need to be tuned. Moreover, an extension of the algorithm that can simultaneously deal with blind signal separation and echo cancellation is derived. Experiments with real recordings have been carried out, showing the effectiveness of the algorithm for real-world signals