Extracting Speech Signals using Independent Component Analysis

Content Provider	Semantic Scholar
Author	Choi, Charles T. M. Lee, Yi-Hsuan
Copyright Year	2009
Abstract	Independent component analysis (ICA) is the dominant method to resolve blind source separation (BSS) problem. In this article we conducted experiments to evaluate the separation performance of ICA for acoustic signals. Experiments results show that if we can find appropriate placement of microphones, applying ICA to hearing prostheses as pre-processing can help the wearer hear more clear sounds.
Starting Page	179
Ending Page	182
Page Count	4
File Format	PDF HTM / HTML
DOI	10.1007/978-3-540-92841-6_43
Alternate Webpage(s)	https://page-one.springer.com/pdf/preview/10.1007/978-3-540-92841-6_43
Alternate Webpage(s)	https://doi.org/10.1007/978-3-540-92841-6_43
Volume Number	23
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article