IEICE TRANSACTIONS on Fundamentals
Blind Source Separation of Convolutive Mixtures of Speech in Frequency Domain
Summary :
This paper overviews a total solution for frequency-domain blind source separation (BSS) of convolutive mixtures of audio signals, especially speech. Frequency-domain BSS performs independent component analysis (ICA) in each frequency bin, and this is more efficient than time-domain BSS. We describe a sophisticated total solution for frequency-domain BSS, including permutation, scaling, circularity, and complex activation function solutions. Experimental results of 2
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E88-A No.7 pp.1640-1655
- Publication Date
- 2005/07/01
- Publicized
- Online ISSN
- DOI
- 10.1093/ietfec/e88-a.7.1640
- Type of Manuscript
- Special Section INVITED PAPER (Special Section on Multi-channel Acoustic Signal Processing)
- Category
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Shoji MAKINO, Hiroshi SAWADA, Ryo MUKAI, Shoko ARAKI, "Blind Source Separation of Convolutive Mixtures of Speech in Frequency Domain" in IEICE TRANSACTIONS on Fundamentals,
vol. E88-A, no. 7, pp. 1640-1655, July 2005, doi: 10.1093/ietfec/e88-a.7.1640.
Abstract: This paper overviews a total solution for frequency-domain blind source separation (BSS) of convolutive mixtures of audio signals, especially speech. Frequency-domain BSS performs independent component analysis (ICA) in each frequency bin, and this is more efficient than time-domain BSS. We describe a sophisticated total solution for frequency-domain BSS, including permutation, scaling, circularity, and complex activation function solutions. Experimental results of 2
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e88-a.7.1640/_p
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@ARTICLE{e88-a_7_1640,
author={Shoji MAKINO, Hiroshi SAWADA, Ryo MUKAI, Shoko ARAKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Blind Source Separation of Convolutive Mixtures of Speech in Frequency Domain},
year={2005},
volume={E88-A},
number={7},
pages={1640-1655},
abstract={This paper overviews a total solution for frequency-domain blind source separation (BSS) of convolutive mixtures of audio signals, especially speech. Frequency-domain BSS performs independent component analysis (ICA) in each frequency bin, and this is more efficient than time-domain BSS. We describe a sophisticated total solution for frequency-domain BSS, including permutation, scaling, circularity, and complex activation function solutions. Experimental results of 2
keywords={},
doi={10.1093/ietfec/e88-a.7.1640},
ISSN={},
month={July},}
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TY - JOUR
TI - Blind Source Separation of Convolutive Mixtures of Speech in Frequency Domain
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1640
EP - 1655
AU - Shoji MAKINO
AU - Hiroshi SAWADA
AU - Ryo MUKAI
AU - Shoko ARAKI
PY - 2005
DO - 10.1093/ietfec/e88-a.7.1640
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E88-A
IS - 7
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - July 2005
AB - This paper overviews a total solution for frequency-domain blind source separation (BSS) of convolutive mixtures of audio signals, especially speech. Frequency-domain BSS performs independent component analysis (ICA) in each frequency bin, and this is more efficient than time-domain BSS. We describe a sophisticated total solution for frequency-domain BSS, including permutation, scaling, circularity, and complex activation function solutions. Experimental results of 2
ER -
English
