| Presentation | 2003/4/18 Blind Separation and Deconvolution for Convolutive Mixture of Speech Using SIMO-Model-Based ICA and Multichannel Inverse Filtering Hiroaki YAMAJO, Hiroshi SARUWATARI, Tomoya TAKATANI, Tsuyoki NISHIKAWA, Kiyohiro SHIKANO, |
|---|---|
| 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 (BSD) algorithm for a convolutive mixture of speech, 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 SIMO-ICA, a simple blind deconvolution technique for the SIMO model can be applied even when each source signal is temporally correlated. The simulation results reveal that the proposed method can successfully achieve the separation and deconvolution for a convolutive mixture of speech. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ICA / Blind Source Separation / Blind Deconvolution / MIMO-model |
| Paper # | EA2003-11,SP2003-11 |
| Date of Issue |
| Conference Information | |
| Committee | EA |
|---|---|
| Conference Date | 2003/4/18(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
| Chair | |
| Vice Chair | |
| Secretary | |
| Assistant | |
| Paper Information | |
| Registration To | Engineering Acoustics (EA) |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Blind Separation and Deconvolution for Convolutive Mixture of Speech Using SIMO-Model-Based ICA and Multichannel Inverse Filtering |
| Sub Title (in English) | |
| Keyword(1) | ICA |
| Keyword(2) | Blind Source Separation |
| Keyword(3) | Blind Deconvolution |
| Keyword(4) | MIMO-model |
| 1st Author's Name | Hiroaki YAMAJO |
| 1st Author's Affiliation | Graduate School of Information Science Nara Institute of Science and Technology() |
| 2nd Author's Name | Hiroshi SARUWATARI |
| 2nd Author's Affiliation | Graduate School of Information Science Nara Institute of Science and Technology |
| 3rd Author's Name | Tomoya TAKATANI |
| 3rd Author's Affiliation | Graduate School of Information Science Nara Institute of Science and Technology |
| 4th Author's Name | Tsuyoki NISHIKAWA |
| 4th Author's Affiliation | Graduate School of Information Science Nara Institute of Science and Technology |
| 5th Author's Name | Kiyohiro SHIKANO |
| 5th Author's Affiliation | Graduate School of Information Science Nara Institute of Science and Technology |
| Date | 2003/4/18 |
| Paper # | EA2003-11,SP2003-11 |
| Volume (vol) | vol.103 |
| Number (no) | 25 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |