Speaker tracking method based on regularized particle filtering

Aimed at the problem of speaker tracking in noisy and reverberant environments,a speaker's sound source positioning and tracking method was presented based on microphone array with regularized particle filtering(RPF).In the framework of regularized particle filtering,the stronger adaptability of Brown motion model was used to construct a likelihood function by means of calculating beamforming output energy of the microphone array.The results of simulation data showed that this method was better than the standard particle filtering,and the capability of antinoise and anti-reverberation of the speaker tracking system of sounds source was improved effectively.Tracking would be effective even in the case of low signal-noise ratio(SNR=-5 dB).