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Blind separation of convolutive audio mixtures using nonstationarity
| Content Provider | CiteSeerX |
|---|---|
| Author | Pham, Dinh-Tuan Servière, Christine Boumaraf, Hakim |
| Description | In: Proceedings of ICA We consider the blind separation of convolutive mixtures based on the joint diagonalization of time varying spectral matrices of the observation records. The goal is to separate audio mixtures in which the mixing filter has quite long impulse responses and the signals are highly non stationary. We rely on the continuity of the frequency response of the filter to eliminate the permutation ambiguity. Simulations show that our method works well when there is no strong echos in the mixing filter. But if it is not the case, the permutation ambiguity cannot be sufficiently removed. 1. |
| File Format | |
| Language | English |
| Access Restriction | Open |
| Subject Keyword | Blind Separation Convolutive Mixture Convolutive Audio Mixture Joint Diagonalization Spectral Matrix Strong Echo Observation Record Permutation Ambiguity Mixing Filter Frequency Response Permutation Ambiguity Cannot Audio Mixture Long Impulse Response |
| Content Type | Text |
| Resource Type | Article |
