| 題目：Games for Researches 主講人：戴文凱教授(東華大學資訊工程學系) 時間：103年4月30日(星期三13:30-15:30) 地點：三峽校區商學院商1F01教室 大綱： ABSTRACT GAME Lab has been endeavoring to offer its research power to get game development done in a more productive way for years. By aggressively cooperating with game developers in the game industry and proposing novel ideas of game applications to research institutes, a few projects have been developed together with some essential R & D demands identified, formalized and satisfied such as game software architectures, game development tools, AI and graphics engines. The research results benefit the game production and improve the game quality more or less. In this talk, we like to briefly introduce what we have done: UOL: University Online, an online game for students in university to promote positive and joyful learning atmosphere GOL: Go online for promoting and popularizing the learning and playing of Go, AI Engine: An AI engine for Poker games Music Score Editor: A gameplay editing tool for DDR-like games Fantasy Horse: A lite horse racing game for arcade platform delights players in game centers And, share with you the experiences of researches we have had about games for researches in recent years: Procedural Modeling: Chinese feature buildings construction such as Ting and Pailou FX Framework: A platform developing for Presentation FX Steganography: Containerizing 3D models for hiding digital content data Excitement Control: Set up excitements while horses are racing Abstract: This talk introduces our recent achievements in speech-related research with applications in life science, multimedia retrieval, and communication. For life science, I will introduce our recent work in emotion and autism spectrum recognition, as well as new methods for enhancing speech quality and intelligibly for those with hearing loss. For multimedia retrieval, I will demonstrate algorithms for speaker and acoustic event recognition and a prototype system that integrates the two recognition techniques to facilitate video content analysis. Finally for communication, I will present our recently developed noise reduction and echo cancellation algorithms that effectively enhance communication quality. Bio: Yu Tsao received the B.S. and M.S. degrees in Electrical Engineering from National Taiwan University in 1999 and 2001, respectively, and the Ph.D. degree in Electrical and Computer Engineering from Georgia Institute of Technology in 2008. From April 2009 to September 2011, Dr. Tsao was a researcher at Spoken Language Communication Group, National Institute of Information and Communications Technology (NICT), Kyoto, Japan, where he engaged in research and product development in automatic speech recognition for multi-lingual speech-to-speech translation. Currently, Dr. Tsao is an assistant research fellow of the Research Center for Information Technology Innovation (CITI) at Academia Sinica. Dr. Tsao's research interests include speech and speaker recognition, acoustic and language modeling, multimedia signal and information processing, pattern recognition and machine learning. He is currently a member of Institute of Electrical and Electronics Engineers (IEEE) and International Speech Communication Association (ISCA). |
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