HISTOGRAM-BASED BLIND SOURCE SEPARATION OF MORE SOURCES THAN SENSORS USING A DUET-ESPRIT TECHNIQUE (ThuAmOR9)

Author(s) : Thomas Melia (University College Dublin, Ireland) Scott Rickard (University College Dublin, Ireland) Conor Fearon (University College Dublin, Ireland)

Abstract : The Direction of Arrival estimation algorithm ESPRIT is capable of estimating the angles of arrival of N narrowband source signals using M > N anechoic sensor mixtures from a uniform linear array (ULA). Using a similar parameter estimation step, the DUET Blind Source Separation algorithm can demix N > 2 speech signals using M = 2 anechoic mixtures of the signals. We introduce here the DUET-ESPRIT (DESPRIT) Blind Source Separation algorithm which demixes N > M speech signals using M >= 2 anechoic mixtures.<br><br> </font>

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