Artificial Intelligence Technology in the Field of Broadcasting and Hosting

With the development of science and technology, the ways of information dissemination are becoming increasingly diverse. For broadcasting, listening is the most important way to receive information, but in some special situations, manual matching has high accuracy but is time-consuming and laborious, bringing great workload. This article combines artificial intelligence (AI) to study intelligent broadcasting and hosting, aiming to improve the efficiency of broadcasting services and the quality and accuracy of information transmission. On the basis of design requirement analysis, the system architecture is divided into four levels: application layer, service layer, model layer, and data layer. Based on the Automatic Speech Recognition (ASR) model and Natural Language Processing (NLP) model, the construction of an intelligent broadcasting and hosting system is achieved. To verify its effectiveness, the article conducts functional evaluation and user experience analysis. Under different themes, the average accuracy of ASR is about 97.7%, and the average score of BLEU (Bilateral Evaluation Understudy) is about 0.82. The conclusion indicates that AI-based broadcasting and hosting can effectively improve the accuracy of information transmission and meet the diverse needs of the audience.