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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Minje Kim Seungjin Choi |
| Copyright Year | 2006 |
| Description | Author affiliation: Dept. of Comput. Sci., Pohang Univ. of Sci. & Technol. (Minje Kim; Seungjin Choi) |
| Abstract | Permutation ambiguity is an inherent limitation in independent component analysis, which is a bottleneck in frequency-domain methods of convolutive source separation. In this paper we present a method for resolving this permutation ambiguity, where we group vectors of estimated frequency responses into clusters in such a way that each cluster contains frequency responses associated with the same source. The clustering is carried out, applying independent component analysis to estimated frequency responses. In contrast to existing methods, the proposed method does not require any prior information such as the geometric configuration of microphone arrays or distances between sources and microphones. Experimental results confirm the validity of our method |
| Sponsorship | IEEE CPS |
| Starting Page | 950 |
| Ending Page | 954 |
| File Size | 476954 |
| Page Count | 5 |
| File Format | |
| ISBN | 0769525210 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2006.657 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Source separation Frequency estimation Frequency domain analysis Independent component analysis Finite impulse response filter Fourier transforms Microphone arrays Signal restoration Signal processing Time domain analysis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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