Nowadays, some media have embedded AI synthetic speech into the fusion media platform for news transmission. The technology of speech synthesis changes with each passing day. The transmission effect of artificial intelligence synthetic speech news broadcasting under different sound variables needs to be empirically evaluated. This paper explores the audience's influence on the transmission of synthetic voice news broadcast on different technology platforms (Jianying, Iflytek) and different text topics (politics, finance and economics, social livelihood, sports and entertainment). Reference bioacoustics, social psychology, journalism and communication, broadcasting, the authority in the fields of artificial intelligence research dimensions used in the evaluation, set up in this study, using scientific indicators and set the quantitative assessment of ten dimensions, participants are measured with questionnaire scores on synthetic speech under different voice variable news broadcast voice quality score and the degree of subjective preferences. The experiment collected 300 valid questionnaires, and the quantitative results showed that the audience preference score of AI-synthesized speech on Jianying platform was higher in the sports and entertainment text-themed news broadcast. Iflytek platform AI-synthesized speech has a higher audience preference score in financial and economic text news broadcast. The AI-synthesized speech of the two platforms has no significant impact on the social and people's livelihood and sports and entertainment text news broadcast. This study makes a horizontal comparison of individual indicators of AI-synthesized speech sound quality in the rating table, and draws a quantitative conclusion on the overall quality level of AI-synthesized speech news broadcast audio.According to the scoring results, find out the characteristics of ai-synthesized speech of different technology platforms, further analyze the factors affecting sound quality, and study the correlation between sound quality and audience preference.It is hoped that this study can provide theoretical support for the distribution and use of application scenarios in the news communication industry in the future.