hal-00482223, version 1
Underdetermined instantaneous audio source separation via local Gaussian modeling
8th Int. Conf. on Independent Component Analysis and Signal Separation (ICA) 5441/2009 (2009) pp 775-782
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Bibliographic reference
- Type of document: Peer-reviewed conferences/proceedings
- Subject:
Engineering Sciences/Signal and Image processing Computer Science/Signal and Image Processing - Title: Underdetermined instantaneous audio source separation via local Gaussian modeling
- Abstract: Underdetermined source separation is often carried out by modeling time-frequency source coefficients via a fixed sparse prior. This approach fails when the number of active sources in one time-frequency bin is larger than the number of channels or when active sources lie on both sides of an inactive source. In this article, we partially address these issues by modeling time-frequency source coefficients via Gaussian priors with free variances. We study the resulting maximum likelihood criterion and derive a fast non-iterative optimization algorithm that finds the global minimum. We show that this algorithm outperforms state-of-the- art approaches over stereo instantaneous speech mixtures.
- Fulltext language: English
- DOI: 10.1007/978-3-642-00599-2_97
- Book title: Independent Component Analysis and Signal Separation. Lecture Notes in Computer Science.
- Audience: international
- Publication date: 2009
- Volume: 5441/2009
- Page, identifiant, ...: pp 775-782
- Commercial editor: Springer-Verlag Berlin Heidelberg 2009
- Conference or book title: 8th Int. Conf. on Independent Component Analysis and Signal Separation (ICA)
- Conference date: 2009-03-15
- Conference date (end): 2009-03-18
- City: Paraty
- Country: Brazil
- Keyword(s): underdetermined – source separation – Gaussian modeling – algorithm
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- hal-00482223, version 1
- http://hal.archives-ouvertes.fr/hal-00482223
- oai:hal.archives-ouvertes.fr:hal-00482223
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- Submitted on: Monday, 10 May 2010 09:18:18
- Updated on: Wednesday, 8 December 2010 17:37:44






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