Design of intelligent speech interactive robot based on intention recognition
In order to improve the accuracy of intelligent speech interaction robot,an intelligent speech interaction method based on intention recognition is proposed.By introducing Glove_BiGRU_Self-attention classification prediction model,intention recogni-tion function module is constructed,and ROS distributed architecture is adopted to integrate the system function module,so as to real-ize intelligent speech interaction between human and machine.The simulation results show that the proposed method has a higher ac-curacy of speech intention recognition,which is 8.03％,4.07％and 2.14％higher than that of intention recognition methods based on DCNN model,CNN-LSTM model and unidirectional GRU-Self-attention model.It has better recognition effect;In terms of fea-ture extraction,the training time of BiGRU is 4 times shorter than that of the traditional extraction method based on BiLSTM model,and the training efficiency is higher.The experimental results show that the speech interaction system built by the proposed intention recognition method still has good results on the recognition accuracy and efficiency of user voice commands,with the average recogni-tion accuracy of 89.72％and the recognition time of 0.35 s,which proves that the proposed method can be applied to actual speech interaction.The application experiments show that the intelligent voice interactive robot built based on the intention recognition meth-od can accurately identify user commands,and make relevant answers or complete corresponding actions according to user require-ments,no matter in question and answer interaction or control commands.It is concluded that the intention recognition method based on Glove_BiGRU_Self-attention can be applied to the speech interaction of intelligent speech robots.
万方数据
维普
