Ting-Yuan Chang
Papers
1
Total Citations
8
H-Index
1
About
Dr. Ting-Yuan Chang is a researcher whose work sits at the intersection of robotics, speech recognition, and intelligent systems. His most notable contribution is the development of a tour guide robot system that integrates RFID technology with a Viterbi algorithm-based Hidden Markov Model (HMM) for speech recognition. This innovative system transforms an omni-directional mobile robot into an interactive guide capable of voice control and automated tour introductions. By employing short-time processing to capture speech signals, Dr. Chang’s approach enables robust isolated word recognition, allowing the robot to respond to user commands in real time. His 2014 paper on this topic has garnered 8 citations, reflecting its foundational role in applied human-robot interaction. Dr. Chang’s work demonstrates a practical synthesis of hardware and software, advancing the field of service robotics by making autonomous guides more accessible and user-friendly. His research continues to inspire developments in intelligent environments and assistive technologies.
Research Focus
Key Achievements
Top Papers
- 1