Dr. Ming Li, associate professor of Electrical and Computer Engineering (ECE) at Duke Kunshan University and a research scholar at the ECE Department of Duke University, received an award from International Speech Communication Association (ISCA), for the best paper published in the organization’s official journal Computer Speech & Language over the past five years 2013 to 2017.
Dr. Li was the first author of the award-winning paper titled "Automatic speaker age and gender recognition using acoustic and prosodic level information fusion" (Computer Speech & Language 27.1 (2013): 151-167), co-authored with Dr. Kyu J. Han, and Prof. Shrikanth Narayanan. The paper had been cited 118 times as of Sept. 17, 2018, tracked by Google Scholar Citation.
Computer Speech & Language publishes reports of original research related to the recognition, understanding, production, coding and mining of speech and language. Dr. Li won the award at the Interspeech 2018 conference in Hyderabad, India.
“I was excited and honored to receive this important recognition,” said Dr. Li. “New technologies and tools in data science can be applied in many fields, bringing big and welcoming transformations in our lifes.”
The paper presents a novel automatic speaker age and gender identification approach which fuses several different but complementary methods at both acoustic and prosodic levels to improve the overall system performance. This technology has been used in many call center applications to provide customized services.
Dr. Ming Li (right) receives 2018 ISCA Best Journal Paper Award
“Dr. Li Ming is a member of the inaugural faculty for the newly launched undergraduate degree program in the fall of 2018,” said Dr. Haiyan Gao, vice chancellor for academic affairs at Duke Kunshan. “This international recognition highlights the world-class faculty and research strength our university is building in the area of Data Science and Electrical and Computer Engineering where Dr. Li works.”
Dr. Li received his Ph.D. in Electrical Engineering from University Southern California in 2013. His research interests are in the areas of speech processing and multimodal behavior signal analysis. He has published more than 90 papers and served as the member of CCF speech language and hearing committee, CAAI artificial psychology and affective computing committee, APSIPA speech and language processing committee, area chairs for Interspeech 2016 and 2018. Works co-authored with his colleagues have won first prizes at Body Computing Slam Contest 2009, Interspeech2011 Speaker State Challenge and Interspeech2012 Speaker Trait Challenge; best paper awards at IEEE DCOSS 2009, ISCSLP 2014, IEEE CPTECE 2018. He received the IBM faculty award in 2016.