Presentation | 2001/1/18 Optimization on the Number of Subbands in Frequency-Domain Blind Source Separation Tsuyoki NISHIKAWA, Shoko ARAKI, Shoji MAKINO, Hiroshi SARUWATARI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | This paper describes an optimization strategy in terms of the number of subbands in frequency-domain blind source separation (BSS). In general, the separation performance of the conventional ICA-based BSS method significantly degrades under reverberant conditions. On the other hand, as for the inverse filter for dereverberation, it is known that the higher performance can be achieved as the number of filter taps (or the number of subbands) increases. Accordingly, first, we carry out the BSS experiments by increasing the number of subbands in ICA to improve the BSS performance. The results of the signal separation experiments reveal that the separation performance degrades when the number of subbands is exceedingly large; e.g., 1024-or 2048-subband are used. In order to show the cause of the degradation, next, we newly define a simple objective measure to quantify an independence, and investigate the relations between the number of subbands and the independence among narrowband sound sources. The results of the measurements clarify that the independence decreases as the number of subbands increases, and we can conclude that the optimal number of subbands exists in BSS based on the frequency-domain ICA. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Blind source separation / Frequency domain / Subband processing / Independent component analysis / Circular convolution |
Paper # | US2000-88,EA2000-95 |
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Conference Information | |
Committee | EA |
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Conference Date | 2001/1/18(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Engineering Acoustics (EA) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Optimization on the Number of Subbands in Frequency-Domain Blind Source Separation |
Sub Title (in English) | |
Keyword(1) | Blind source separation |
Keyword(2) | Frequency domain |
Keyword(3) | Subband processing |
Keyword(4) | Independent component analysis |
Keyword(5) | Circular convolution |
1st Author's Name | Tsuyoki NISHIKAWA |
1st Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology() |
2nd Author's Name | Shoko ARAKI |
2nd Author's Affiliation | NTT Communication Science Laboratories |
3rd Author's Name | Shoji MAKINO |
3rd Author's Affiliation | NTT Communication Science Laboratories |
4th Author's Name | Hiroshi SARUWATARI |
4th Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
Date | 2001/1/18 |
Paper # | US2000-88,EA2000-95 |
Volume (vol) | vol.100 |
Number (no) | 580 |
Page | pp.pp.- |
#Pages | 7 |
Date of Issue |