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Digital People Live usually utilizes artificial intelligence technology and natural language processing capabilities to achieve real-time interaction with viewers. For example, through deep learning models, digital humans can understand the audience’s text messages in the live broadcast room and instantly generate appropriate responses. At the same time, some platforms support real-time audio takeover or text takeover functions for real-life anchors, which means that anchors can synchronize the expression of digital people through voice or input text in the background, thus achieving a smoother and more natural interactive experience.

Most digital person companies in the market today offer highly customizable image creation tools. Users can customize the appearance of their digital person according to their needs, including but not limited to facial features, body proportions, hairstyle and makeup, etc., and even choose different voice lines. For example, some platforms support the “free face pinch” function, which, combined with a large number of image templates, allows businesses or individuals to quickly generate a unique and personalized anchor image to meet the needs of different live broadcast scenarios and brand features.

In order to ensure the stability and realism of AI digital people in live broadcasting, Digital People continuously optimizes its algorithms, technical architecture and performance. This includes the use of advanced graphic rendering technology to improve visual fidelity, as well as machine learning algorithms to train the digital person’s expressions, movements and voice synthesis to perform closer to real people. In addition, technologies such as motion capture and real-time facial animation techniques are used to increase the naturalness of the digital human, while a stable server architecture and optimized data transfer protocols guarantee smoothness during live broadcasts, reducing latency and ensuring a great viewer experience!