In order to improve the offline training efficiency of speaker recognition system

a speaker recognition method based on affinity propagation clustering is proposed. The method uses affinity propagation（ AP） clustering for screening sample of voiceprint feature of speakers. Then

the speaker recognition classifier is trained by neural network algorithm. Finally

speaker recognition is completed. In order to verify the effectiveness of the method

speaker recognition experiments are conducted on self-collected data sets. It is proved that the sample compression rate is about 82 % and the training time of the network is about 86. 99 % after the sample set is compressed by affinity propagation clustering algorithm. The recognition accuracy is basically the same as that before compression. Experiments show that the speaker recognition algorithm based on affinity propagation clustering and neural network can greatly improve the training speed of neural network and save time and cost while guaranteeing the recognition rate.