Probabilistic sound source localization

Author

Lim, Yoon Seob ; Choi, Jong Suk ; Kim, Mun-Sang

Author_Institution

Korea Inst. of Sci. & Technol., Seoul

fYear

2007

fDate

17-20 Oct. 2007

Firstpage

1925

Lastpage

1928

Abstract

Sound localization is one of ways that keep the relation with robot. Time delay of arrival (TDOA) between two microphones through cross-correlation method has been used for sound localization in our robot platforms. However, since cross-correlation values are highly dependent on the upcoming sound signal and acoustic environment, time delay values and localization result are easily perturbed. Probabilistic method for sound source localization is presented in this paper. Markovian process and post filtering steps are applied for calculating time delay value and a reliable sound localization.

Keywords

Markov processes; acoustic signal processing; correlation methods; delay systems; filtering theory; probability; robots; Markovian process; acoustic environment; cross-correlation method; microphones; post filtering steps; probabilistic sound source localization; robot; time delay of arrival; upcoming sound signal; Acoustic noise; Automatic control; Cognitive robotics; Control systems; Delay effects; Filtering; Microphones; Particle filters; Robots; Working environment noise; Bayes theorem; Markov process; Sound localization;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation and Systems, 2007. ICCAS '07. International Conference on

Conference_Location

Seoul

Print_ISBN

978-89-950038-6-2

Electronic_ISBN

978-89-950038-6-2

Type

conf

DOI

10.1109/ICCAS.2007.4406662

Filename

4406662