Abstract
In order to meet the high precision, strong robust demands of speaker tracking system, this paper proposed a new Particle filter algorithm with unknown noise statistic characteristics. The proposed algorithm estimate and correct the statistic characteristics of the unknown noise on-line by improved Sage-Husa estimator, and produce optimal distribution function with unscented Kalman filter. Finally, it realized speaker tracking problem based on audio-visual fusion in the framework of the new algorithm. Experiment results show that the method proposed in this paper has enhanced the accuracy and robustness of speaker tracking system.KeywordsSpeaker trackingAudio-visual fusionParticle filterNoise statistic characteristics
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