| Biography | |
|---|---|
 Prof. Siong Chin Cheng Chongqing University, Singapore |
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| Title: Intelligent Audio Systems | |
| Abstract: Intelligent Systems heavily rely on context-awareness. Context-awareness is the ability of a system or system component to gather information about its environment at any given time and adapt behaviors accordingly. Being able to detect and classify sounds and events from the surroundings is an essential aspect of context-awareness. An audio-based context recognition system using ensemble classifiers with wavelet feature extraction will be presented. The signal from the environment provides complementary information about context compared to other modalities. | |
| Biography: Dr Cheng Siong Chin received the B.Eng. degree in Mechanical and Production Engineering from Nanyang Technological University (NTU) in 2000, the M.Sc. degree in Advanced Control and Systems Engineering from The University of Manchester (formerly called UMIST) in 2001. He has published over 150 publications, 5 authored books and 3 US Patents. His research interests include the design and simulation of intelligent systems. He is a Fellow of the Higher-Education Academy, Fellow of IMarEST and Senior Member of IEEE. He received the Best Paper Award for Virtual Reality of Autonomous Marine Vehicle in 10th International Conference on Modelling, Identification, and Control sponsored by IEEE in 2018 and the Best Application Paper on Dynamic Positioning for Vessel in 11th International Conference on Modelling, Identification, and Control, 2019. He also received DCASE2019 Judges' Award (most innovative and original) for Sound Event Detection in Domestic Environments in IEEE AASP Challenge on DCASE2019. He was awarded the Outstanding Contributions in Reviewing for Future Generation Computer Systems, Elsevier in 2018. He is the Associate Editor of IEEE Access Journal, IEEE Transportation Electrification Community (TEC) eNewsletter, Applied Artificial Intelligence and Electronics (Sections: Systems & Control Engineering and Artificial Intelligence Circuits and Systems). | |
