| Presentation | 2003/6/13 Blind Separation and Deconvolution of Convolutive Speech Mixture Using SIMO-Model-Based ICA with Information-Geometric Learning Hiroshi SARUWATARI, Hiroaki YAMAJO, Tomoya TAKATANI, Tsuyoki NISHIKAWA, Kiyohiro SHIKANO, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We propose a new two-stage blind separation and deconvolution algorithm for multiple-input multiple-output (MIMO)-FIR systems driven by colored sound sources, in which a new single-input multiple-output (SIMO)-model-based ICA (SIMO-ICA) and blind multichannel inverse filtering are combined. 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. After the separation by the SIMO-ICA, a simple blind deconvolution technique for the SIMO model can be applied even when each source signal is temporally correlated and the mixing system has a nonminimum phase property. The simulation results reveal that the proposed algorithm can successfully achieve separation and deconvolution of a convolutive mixture of speech. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Blind source separation / blind deconvolution / independent component analysis / SIMO model |
| Paper # | EA2003-46 |
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| Conference Information | |
| Committee | EA |
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| Conference Date | 2003/6/13(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Engineering Acoustics (EA) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Blind Separation and Deconvolution of Convolutive Speech Mixture Using SIMO-Model-Based ICA with Information-Geometric Learning |
| Sub Title (in English) | |
| Keyword(1) | Blind source separation |
| Keyword(2) | blind deconvolution |
| Keyword(3) | independent component analysis |
| Keyword(4) | SIMO model |
| 1st Author's Name | Hiroshi SARUWATARI |
| 1st Author's Affiliation | Nara Institute of Science and Technolog() |
| 2nd Author's Name | Hiroaki YAMAJO |
| 2nd Author's Affiliation | Nara Institute of Science and Technolog |
| 3rd Author's Name | Tomoya TAKATANI |
| 3rd Author's Affiliation | Nara Institute of Science and Technolog |
| 4th Author's Name | Tsuyoki NISHIKAWA |
| 4th Author's Affiliation | Nara Institute of Science and Technolog |
| 5th Author's Name | Kiyohiro SHIKANO |
| 5th Author's Affiliation | Nara Institute of Science and Technolog |
| Date | 2003/6/13 |
| Paper # | EA2003-46 |
| Volume (vol) | vol.103 |
| Number (no) | 129 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |