As the number of speaker models increases, the recognition speed of the speaker recognition system decreases, thus it cannot meet realtime requirement. To solve this problem, we propose a fast speaker recognition method based on hierarchical recognition model. The approximate value of the KL divergence solved by the variational method is used as the similarity measure between speaker models and a speaker model clustering method is designed. Experimental results show that the proposed method can ensure the validity of speaker model clustering results and improve the recognition speed of the system greatly while maintaining a small system recognition rate loss.

 

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