| Presentation | 2010-12-21 Iterative basis generation and supervised non-negative matrix factorization for signal analysis Toru NAKASHIKA, Tetsuya TAKIGUCHI, Yasuo Ariki, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | NMF (Non-negative Matrix Factorization) has been one of the most useful techniques for signal analysis in recent years. In particular, exemplar-based NMF, in which a large number of samples are used for analyzing a signal, is garnering much attention in sound source separation or noise reduction research. However, because such methods require all the possible samples for the analysis, it is hard to build the practical system of the method. In this paper, we propose a novel method of signal analysis by combining NMF and probabilistic approach. At the beginning, a representative basis vector, called a probabilistic spectrum envelope, is learned for each categories by use of Gaussian Process. On the analyzing stage, basis vectors of NMF are randomly generated from the probabilistic spectrum envelope. Experimental results indicated the validity of the proposed method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Signal analysis / Source separation / NMF / Exemplar-based / Probabilistic spectrum envelope / Gaussian process |
| Paper # | NLC2010-29,SP2010-102 |
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| Conference Information | |
| Committee | NLC |
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| Conference Date | 2010/12/13(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Natural Language Understanding and Models of Communication (NLC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Iterative basis generation and supervised non-negative matrix factorization for signal analysis |
| Sub Title (in English) | |
| Keyword(1) | Signal analysis |
| Keyword(2) | Source separation |
| Keyword(3) | NMF |
| Keyword(4) | Exemplar-based |
| Keyword(5) | Probabilistic spectrum envelope |
| Keyword(6) | Gaussian process |
| 1st Author's Name | Toru NAKASHIKA |
| 1st Author's Affiliation | Graduate School of Engineering, Kobe University() |
| 2nd Author's Name | Tetsuya TAKIGUCHI |
| 2nd Author's Affiliation | Organization of Advanced Science and Technology, Kobe University |
| 3rd Author's Name | Yasuo Ariki |
| 3rd Author's Affiliation | Organization of Advanced Science and Technology, Kobe University |
| Date | 2010-12-21 |
| Paper # | NLC2010-29,SP2010-102 |
| Volume (vol) | vol.110 |
| Number (no) | 356 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |