Extracting Speech Signals using Independent Component Analysis

Charles T. M. Choi, Yi Hsuan Lee

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題13th International Conference on Biomedical Engineering - ICBME 2008
頁面179-182
頁數4
DOIs
出版狀態Published - 1 十二月 2009
事件13th International Conference on Biomedical Engineering, ICBME 2008 - , Singapore
持續時間: 3 十二月 20086 十二月 2008

出版系列

名字IFMBE Proceedings
23
ISSN(列印)1680-0737

Conference

Conference13th International Conference on Biomedical Engineering, ICBME 2008
國家Singapore
期間3/12/086/12/08

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