DocumentCode :
3020191
Title :
DSP integration of sound source localization and multi-channel Wiener filter
Author :
Lee, Byoung-Gi ; Kim, Hyun-Dong ; Choi, Jong-Suk ; Kim, Seyun ; Cho, Nam Ik
Author_Institution :
Korea Inst. of Sci. & Technol., Seoul, South Korea
fYear :
2010
fDate :
3-7 May 2010
Firstpage :
4830
Lastpage :
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.
Keywords :
Wiener filters; digital signal processing chips; hearing; robots; speech recognition; DSP integration; multichannel Wiener filter; robot audition system; robot speech recognition; sound source localization; time delay of arrival measurement; Acoustic noise; Background noise; Delay effects; Digital signal processing; Humans; Noise reduction; Robots; Time measurement; Wiener filter; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation (ICRA), 2010 IEEE International Conference on
Conference_Location :
Anchorage, AK
ISSN :
1050-4729
Print_ISBN :
978-1-4244-5038-1
Electronic_ISBN :
1050-4729
Type :
conf
DOI :
10.1109/ROBOT.2010.5509565
Filename :
5509565
Link To Document :
بازگشت