Based on human-like features, the multi-modal virtual AI technology adopts the capture technology of real human facial expressions and movements, the technology of matching voice synthesis with facial expressions and movements, and the technologies of speech recognition, semantic understanding, and voice synthesis to achieve intelligent speech interaction. Through the collection and mining of big data, a data exchange standard and system are developed to organize, summarize and classify existing open resources and industry-related data. Combining intranet and internet data, intelligent conversation is achieved through technologies such as Automatic Speech Recognition (ASR), Natural Language Processing (NLP), Text to Speech (TTS) and Deep Dynamic Neural Network (DDNN) simulation computation.
User intent recognition and intelligent response
Rich library of body movements
Integration of 3D character body movements
Full-mode voice interaction
Customization of virtual character's voice
Face recognition and automatic wake-up
Identity recognition and business guidance
Speech recognition and intelligent interaction
Banking | Securities | Finan...
Education industry
Television media
Intelligent automobiles
Public transportation
Digital cities | Smart commu...