Enhancement Strategies for Digital Humans and Timbre Technology in AI-Generated Video

AI-generated video is an important application field of AI technology, showing significant advantages and becoming a trend in various niche business scenarios. The commercialization of AI-generated video has achieved remarkable results. When users provide specific input information such as text descriptions, images, and audio clips, the AI model will generate corresponding video content based on these inputs. Cloning digital humans and timbre technology can better improve the results of AI-generated videos. This paper will implement different optimization strategies based on cloning digital humans and timbre technology to generate AI videos that are more in line with user intentions.