Human-Computer Communications Laboratory
The Human-Computer Communications Laboratory (HCCL) was established in 1999. Our vision is to leverage the powerful confluence of massive of computing, communication and content to derive intelligence in a form that is amenable to effective access, visualization and utilization for humans. Our mission is to foster interdisciplinary research and education in human-centric information systems. The scope of our study includes how interactive and intelligent human-computer interfaces to information should be designed and realized, in order to enable users to accomplish their desired tasks in smart, effective and efficient ways.
Guided by our mission, HCCL supports research areas including but not limited to: speech recognition, spoken language understanding, speech generation and synthesis, conversational systems development, audio information processing, multimodal and multimedia interface development, multi-biometric authentication, intelligent agents, mobile computing and e-learning.
Guided by our mission, HCCL is intended to support research areas including but not limited to: speech recognition, spoken language understanding, speech generation, conversational systems development, audio information processing, multimodal and multimedia interface development, intelligent agents, mobile computing, and computer-supported collaborative work.
Systems and Demos
HCCL's CU FOREX system -- Live Demonstration!
CU FOREX is a bilingual conversational hotline for foreign exchange enquiries. You can try talking your way to our real-time Reuters satellite feed!
HCCL's Natural Language Interface
This is a natural language interface to demonstrate language understanding of Air Travel Information Queries
HCCL's Speech Generation System
Listen to our speech generation for Putonghua and Cantonese! It speaks out the most uptodate foreign exchange rates!
Trilingual Audio Search Engine
ASE is a multilingual audio search engine on the web that supports Cantonese, English and Putonghua speech retrieval. Users can use a textual query to retrieve audio and video documents.
The semantic processing system can perform bilingual natural language understanding(NLU) for user queries in the financial domain. It uses a unified approach to handle both English and Chinese natural language queries. The system's intelligence can derive complete interpretations of queries. It can automatically retrieve real-time stock quote from REUTERS. The system can be integrated with speech recognition and synthesis technologies.
- High-end PCs and Workstations
- Audio Equipment
- Quiet, recording room
- Special-purpose software tools
- Prof. MENG, Mei Ling Helen (Lab Coordinator)
- Prof. LAM, Wai