In this paper a blind source separation algorithm in reverberant environment is presented. The algorithms working in such adverse environments are usually characterized by a huge computational cost. In order to reduce the computational complexity of this kind of algorithms a partitioned frequency domain approach is proposed. Several experimental results are shown to demonstrate the effectiveness of the proposed method. © 2009 The authors and IOS Press. All rights reserved.
A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments / Scarpiniti, Michele; A., Picaro; Parisi, Raffaele; Uncini, Aurelio. - STAMPA. - 204(2009), pp. 81-90. ((Intervento presentato al convegno 19th Italian Workshop on Neural Nets, WIRN09 tenutosi a Vietri sul Mare, Salerno nel 28 May 2009 through 30 May 2009. - FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS. [10.3233/978-1-60750-072-8-81].
A Partitioned Frequency Block Algorithm for Blind Separation in Reverberant Environments
SCARPINITI, MICHELE;PARISI, Raffaele;UNCINI, Aurelio
2009
Abstract
In this paper a blind source separation algorithm in reverberant environment is presented. The algorithms working in such adverse environments are usually characterized by a huge computational cost. In order to reduce the computational complexity of this kind of algorithms a partitioned frequency domain approach is proposed. Several experimental results are shown to demonstrate the effectiveness of the proposed method. © 2009 The authors and IOS Press. All rights reserved.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
