AI digital human needs to involve a variety of technologies to realize, and some key technical points are listed below:
Speech synthesis technology: AI digital humans need to have speech synthesis capabilities, which can convert text into speech and read it out in a natural way. Speech synthesis technology can use rule-based methods or deep learning technology, such as WaveNet and so on.
Speech recognition technology: AI digital humans need to be able to understand human voice input and convert it into processable text data. Speech recognition technology can also use a rule-based method, or deep learning technology, such as CTC and Attention mechanism.
Natural language processing technology: AI digital humans need to be able to understand and generate natural language, interact with users in natural language, and process user input intentions, questions and answers, and other tasks. Natural language processing techniques include classification, entity recognition, sentiment analysis, dialogue generation, and more.
3D simulation technology: AI digital humans need to be presented to users in the form of virtual images, which requires the use of 3D modeling, animation production, rendering and other technologies.
Human-computer interaction technology: AI digital humans need to have the ability to interact with humans, which requires the use of technologies such as computer vision and gesture recognition.
Big data, cloud computing and distributed data storage technology: AI digital humans need to have powerful computing and storage capabilities, and need to process massive data and concurrent requests, which requires the use of big data, cloud computing and distributed data storage technology.