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/).
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 -