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DSP integration of sound source localization and multi-channel Wiener filter

Byoung-gi Lee, Hyun Dong Kim, JongSuk Choi, Nam Ik Cho

Year
2010
Citations
4

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

Computer scienceAcoustic source localizationChannel (broadcasting)Noise (video)Digital signal processingFilter (signal processing)Speech recognitionWiener filterComputer visionSound (geography)

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