| Presentation | 2003/6/13 ICA-Based Audio Source Separation Shoji MAKINO, Shoko ARAKl, Ryo MUKAI, Hiroshi SAWADA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper introduces the blind source separation (BSS) of convolutive mixtures of acoustic signals, especially speech. A statistical and computational technique, called independent component analysis (ICA), is examined. By achieving nonlinear decorrelation, nonstationary decorrelation, or time-delayed decorrelation, we can find source signals only from observed mixed signals. Particular attention is paid to the physical interpretation of BSS from the acoustical signal processing point of view. Frequency-domain BSS is shown to be equivalent to two sets of frequency domain adaptive microphone arrays, i.e., adaptive beamformers (ABFs). Although BSS can reduce reverberant sounds to some extent in the same way as ABF, it mainly removes the sounds from the jammer direction. This is why BSS has difficulties with long reverberation in the real world. If sources are not "independent," the dependence results in bias noise when obtaining the correct unmixing filter coefficients. Therefore, the performance of BSS is limited by that of ABF. Although BSS is upper bounded by ABF, BSS has a strong advantage over ABF. BSS can be regarded as an intelligent version of ABF in the sense that it can adapt without any information on the array manifold or the target direction, and sources can be simultaneously active in BSS. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | independent component analysis / blind source separation / adaptive beamformer |
| Paper # | EA2003-45 |
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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) |
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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) | ICA-Based Audio Source Separation |
| Sub Title (in English) | |
| Keyword(1) | independent component analysis |
| Keyword(2) | blind source separation |
| Keyword(3) | adaptive beamformer |
| 1st Author's Name | Shoji MAKINO |
| 1st Author's Affiliation | NTT Communication Science Laboratories() |
| 2nd Author's Name | Shoko ARAKl |
| 2nd Author's Affiliation | NTT Communication Science Laboratories |
| 3rd Author's Name | Ryo MUKAI |
| 3rd Author's Affiliation | NTT Communication Science Laboratories |
| 4th Author's Name | Hiroshi SAWADA |
| 4th Author's Affiliation | NTT Communication Science Laboratories |
| Date | 2003/6/13 |
| Paper # | EA2003-45 |
| Volume (vol) | vol.103 |
| Number (no) | 129 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |