DocumentCode :
2747040
Title :
BSS Toolbox for delayed and convolved mixtures
Author :
Ciaramella, Angelo ; Tagliaferri, Roberta ; Iorio, Francesco
Author_Institution :
Dept. of Math. & Comput. Sci., Salerno Univ., Italy
Volume :
2
fYear :
2005
fDate :
31 July-4 Aug. 2005
Firstpage :
1245
Abstract :
In this paper a Toolbox to generate and to analyze linear, non-linear, delayed and convolved mixtures of real source signals is presented. From one hand, in fact, a simple interface based on a physical model has been implemented and stereo, dolby, delayed, and convolved mixtures can be generated. On the other hand a blind source separation analysis can be accomplished. In fact, a novel separation algorithm (i.e. APDP) is included in the Toolbox. Several experiments to separate delayed mixtures of real instruments are made. Three musical recordings of different instrumental scores are mixed and analyzed by using the Toolbox. Several comparisons with known methods are made.
Keywords :
blind source separation; convolution; blind source separation Toolbox; convolved mixtures; delayed mixtures; novel separation algorithm; real source signals; Blind source separation; Computer science; Delay lines; Frequency domain analysis; Independent component analysis; Instruments; MONOS devices; Mathematics; Signal analysis; Source separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2005. IJCNN '05. Proceedings. 2005 IEEE International Joint Conference on
Print_ISBN :
0-7803-9048-2
Type :
conf
DOI :
10.1109/IJCNN.2005.1556032
Filename :
1556032
Link To Document :
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