DocumentCode :
3097166
Title :
Direction of arrival estimation of speech signals using ICA and MUSIC methods
Author :
Liu, Chun-Li ; Hang, Hsueh-Ming
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taipei Univ. of Technol., Taipei, Taiwan
fYear :
2010
fDate :
15-17 June 2010
Firstpage :
1768
Lastpage :
1773
Abstract :
Techniques of using a microphone array to determine a sound source location, the localization problem, has been studied for many years. A popular method is the so-called MUSIC (Multiple Signal Classification). There is a second type of method that tries to solve both sound separation and localization problems in one setting. The second method used for localization purpose is less known. In this study, we investigate and compare these two approaches. We show the strengths of each method and what their best application scenarios are.
Keywords :
direction-of-arrival estimation; independent component analysis; microphone arrays; signal classification; source separation; speech processing; ICA method; MUSIC method; direction of arrival estimation; independent component analysis; microphone array; multiple signal classification; sound localization; sound separation; sound source location; speech signal; Acoustical engineering; Direction of arrival estimation; Independent component analysis; Microphone arrays; Multiple signal classification; Position measurement; Reverberation; Source separation; Speech; Wideband; BSS; DOA estimation; ICA; MUSIC;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2010 the 5th IEEE Conference on
Conference_Location :
Taichung
Print_ISBN :
978-1-4244-5045-9
Electronic_ISBN :
978-1-4244-5046-6
Type :
conf
DOI :
10.1109/ICIEA.2010.5515317
Filename :
5515317
Link To Document :
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