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With the development of information technology, audio and video streaming technology is applied more and more widely. In order to make audio and video streaming technology, especially in live broadcasting, have better performance and get more users' praise, The MPC control algorithm is introduced under the original HTTP dynamic adaptive streaming standard video streaming media architecture, and the MPC model predictive control is combined with the bit-rate adaptive algorithm to optimize AAC, determine the predictive model, test the influencing factors of audio and video synchronization, PSNR-Y component, test slice duration and frame hopping delay. The final QoE user evaluation index is calculated to further detect the advantages and disadvantages of audio and video streaming media technology. The experimental simulation test shows that compared with previous relevant algorithms, QoE values are better in different live broadcast scenarios and different network environments, and the average QoE user evaluation index is significantly higher, reaching 1237.2826. From the above analysis, it can be seen that MPC's bit-rate adaptive algorithm has the best performance.