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