標題: Extracting Speech Signals using Independent Component Analysis
作者: Choi, Charles T. M.
Lee, Yi-Hsuan
資訊工程學系
Department of Computer Science
關鍵字: Independent Component Analysis (ICA);Acoustic Signals Separation;Hearing Prostheses
公開日期: 2009
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.
URI: http://hdl.handle.net/11536/15960
ISBN: 978-3-540-92840-9
ISSN: 1680-0737
期刊: 13TH INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING, VOLS 1-3
Volume: 23
Issue: 1-3
起始頁: 179
結束頁: 182
Appears in Collections:Conferences Paper