AI Broadcast Host Expression Technology Based on Neural Network Algorithm

With the continuous improvement of people's living standards, the demand for high quality, high efficiency and high-quality information transmission is becoming stronger and stronger. Especially with the rapid development of Internet technology, traditional media forms can no longer meet the current social communication needs. Under the background of the new era, new media methods such as networked broadcasting and multimedia also came into being and have been rapidly promoted and used. Therefore, based on neural network algorithm, this paper studies AI broadcasting host expression technology. Firstly, this paper expounds the concept of AI broadcasting, and then expounds the impact of AI on future broadcasting hosts and the problems of existing AI broadcasting. Finally, according to the optimization of neural network algorithm, this paper tests all aspects of AI broadcast host expression technology. The test results show that after the optimization of neural network algorithm, the average value of emotional expression of AI broadcast host is relatively stable in expression technology, and the audio output is also stable. At the same time, there is a sense of law in speech speed and speech rhythm, but it will still be unstable.