Title :
Probabilistic sound source localization
Author :
Lim, Yoon Seob ; Choi, Jong Suk ; Kim, Mun-Sang
Author_Institution :
Korea Inst. of Sci. & Technol., Seoul
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;
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
DOI :
10.1109/ICCAS.2007.4406662
