Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy

The system of speech enhancement algorithm for blind source separation based on FastICA

Authors
Minsan Zhang
Corresponding Author
Minsan Zhang
Available Online July 2015.
DOI
10.2991/icismme-15.2015.162How to use a DOI?
Keywords
speech enhancement algorithm; blind source separation; FastICA.
Abstract

A speech based on FastICA blind source separation algorithm. It has been transplanted to a speech enhancement system whose core component is DSP chip. This system enhances speech signals in real time. It samples sounds signals in the air using a microphone array and uses its embedded speech enhancement algorithm separates speech source signals and noise source signals, in order to suppress noise source signals including inference speech signals. There is also a further step that suppressing residual background noise after separation.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
Series
Advances in Intelligent Systems Research
Publication Date
July 2015
ISBN
10.2991/icismme-15.2015.162
ISSN
1951-6851
DOI
10.2991/icismme-15.2015.162How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Minsan Zhang
PY  - 2015/07
DA  - 2015/07
TI  - The system of speech enhancement algorithm for blind source separation based on FastICA
BT  - Proceedings of the First International Conference on Information Sciences, Machinery, Materials and Energy
PB  - Atlantis Press
SP  - 775
EP  - 778
SN  - 1951-6851
UR  - https://doi.org/10.2991/icismme-15.2015.162
DO  - 10.2991/icismme-15.2015.162
ID  - Zhang2015/07
ER  -