DocumentCode :
1943202
Title :
High-fidelity blind separation for convolutive mixture of acoustic signals using SIMO-model-based independent component analysis
Author :
Takatani, Tomoya ; Nishikawa, Tsuyoki ; Saruwatari, Hiroshi ; Shikano, Kiyohiro
Author_Institution :
Graduate Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Japan
Volume :
2
fYear :
2003
fDate :
1-4 July 2003
Firstpage :
77
Abstract :
We propose a novel blind separation framework for single-input multiple-output (SIMO)-model-based acoustic signals using the extended ICA algorithm, SlMO-ICA. The SIMO-ICA consists of multiple ICAs and a fidelity controller, and each ICA runs in parallel under the fidelity control of the entire separation system. The SIMO-ICA can separate the mixed signals, not into monaural source signals but into SIMO-model-based signals from independent sources as they are at the microphones. Thus, the separated signals of SIMO-ICA can maintain the spatial qualities of each sound source. In order to evaluate its effectiveness, separation experiments are carried out under a reverberant condition. The experimental results reveal that (1) the signal separation performance of the proposed SIMO-ICA is the same as that of the conventional ICA-based method, and that (2) the spatial quality of the separated sound in SIMO-ICA is remarkably superior to that of the conventional method.
Keywords :
acoustic signal processing; blind source separation; convolution; filtering theory; independent component analysis; acoustic signals; convolutive mixture; high fidelity blind separation framework; independent component analysis; signal separation; single-input multiple-output model; Blind source separation; Data mining; Finite impulse response filter; Independent component analysis; Information science; Microphones; Signal processing; Signal processing algorithms; Source separation; Telecommunications;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
Type :
conf
DOI :
10.1109/ISSPA.2003.1224819
Filename :
1224819
Link To Document :
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