Underdetermined Blind Source Separation in Echoic Environments Using DESPRIT. (10th September 2006)

• Record Type: Journal Article
• Authors: Melia Melia, Thomas Thomas; Rickard Rickard, Scott Scott
• Other Names: Cichocki Cichocki Andrzej Andrzej Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2007(2007)
• Publication Date: 2006-09-10
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2007/86484
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : The DUET blind source separation algorithm can demix an arbitrary number of speech signals usingM = 2 anechoic mixtures of the signals. DUET however is limited in that it relies upon source signals which are mixed in an anechoic environment and which are sufficiently sparse such that it is assumed that only one source is active at a given time frequency point. The DUET-ESPRIT (DESPRIT) blind source separation algorithm extends DUET to situations whereM ≥ 2 sparsely echoic mixtures of an arbitrary number of sources overlap in time frequency. This paper outlines the development of the DESPRIT method and demonstrates its properties through various experiments conducted on synthetic and real world mixtures.