Li Tian
Papers
1
Total Citations
38
H-Index
1
About
Li Tian is a leading researcher in human-robot interaction and affective computing, with a particular focus on emotional speech processing. His most cited work introduces an open-source emotional speech corpus designed specifically for human-robot interaction applications, a resource that has garnered 38 citations and become a foundational tool in the field. By carefully constructing a balanced corpus of New Zealand English vowels, Tian addressed a critical gap in existing datasets—ensuring equal representation of emotional expressions across phonetic categories. This methodological rigor has enabled more reliable and nuanced analysis of emotional cues in speech, directly advancing the development of socially aware robots. Beyond this corpus, Tian’s contributions lie in bridging the gap between linguistic variation and affective technology, demonstrating how culturally and phonetically balanced data can improve machine understanding of human emotion. His work is widely recognized for its practical impact on both academic research and applied robotics, making him a key figure in the quest to build machines that can genuinely interpret and respond to human emotional states.
Research Focus
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Top Papers
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