The open source nature and modular design of wukong-robot make it particularly suitable for educational and research scenarios. The system fully implements the core technology stack of the smart speaker, including speech recognition, natural language processing, dialog management and other key technologies, providing a complete case for AI teaching.
In terms of neuroscience research, the project's brain-computer interaction function provides an experimental platform for exploring new types of human-computer interaction. Researchers can capture various types of EEG signals through the Muse device and develop biometric-based interaction algorithms. Educational institutions can use wukong-robot for experimental teaching of voice interaction, smart home and other IoT-related courses.
The project documentation records the system architecture and implementation principles in detail and contains rich technical details, which is very helpful for computer science students. By participating in the project development, students can get the opportunity to practice in the fields of speech recognition and natural language processing, and master the complete process of smart device development.
This answer comes from the articlewukong-robot: a smart speaker project to create personalized Chinese voice conversationsThe
English 
简体中文 
日本語 
Deutsch 
Português do Brasil