DSP Integration of Sound Source Localization and Multi-channel Wiener Filter

Authors
Lee, Byoung-giKim, Hyun-dongChoi, Jong-sukKim, SeyunCho, Nam Ik
Issue Date
2010
Publisher
IEEE
Citation
IEEE International Conference on Robotics and Automation (ICRA), pp.4830 - 4835
Abstract
This paper describes a DSP integration of sound source localization (SSL) and multi-channel Wiener filter (MWF). To develop a robot audition system, we integrated SSL module and MWF module into a DSP system. SSL is a module to perceive the direction of a human user's call. It measures time delay of arrival among microphones and estimates the direction of sound source. Also, it post-processes the resulted estimations of direction by histogram to perceive the direction robustly under noisy environment. MWF is a module to reduce background noises from raw voice signal to enhance the performance of robot's speech recognition. It gathers information of background noises during noise-period and then reduces noises during voice-period. This SSL-MWF combination system will be a cheap, high-performing and convenient solution for robot audition.
ISSN
1050-4729
URI
https://pubs.kist.re.kr/handle/201004/115768
DOI
10.1109/ROBOT.2010.5509565
Appears in Collections:
KIST Conference Paper > 2010
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