Nguyen Thi Thu Trang

Lecturer, Department Of Computer Science

Ph.D. (Computer Science, University of Paris-Sud, France, 2015)
M.S (Information Technology, Hanoi University of Science and Technology, 2007)
Eng (Software Technology, Hanoi University of Science and Technology, 2005)

Email: trangntt@soict.hust.edu.vn
Web:  https://users.soict.hust.edu.vn/trangntt/

• Speech Synthesis
• Natural Language Processing

• Expressive Speech Synthesis
• Speaker Adaptation
• Text Summarization
• Natural Language Understanding
• Dialog Management in HCI

NGUYEN Thi Thu Trang is a lecturer and researcher of Computer Science at the School of Information and Communication Technology (SoICT), Hanoi University of Science and Technology (HUST). She obtained the PhD degree in computer science in 2015 from University of Paris-Sud in France. Dr. Trang’s research focuses on expressive speech synthesis, text summarization, natural language understanding and dialog management. She has published over 20 research articles in international journals and conference proceedings, and co-authored several books. She was one of the ten national golden globe in ICT 2009, leveraged by the Ministry of Science and Technology. Dr. Trang is now currently PI for the national project in natural language processing: “Automatic crawling, multi-label classification, relation extraction, extractive and abstractive summarization for single and multiple documents of Vietnamese news from Internet”. She is the author and researcher lead for Vbee Group (https://vbee.vn), from which many real-life applications are developed, e.g. voice command in smart home (Milo speaker of Lumi), smart call center (NTT Network, Vietcombank, etc), lecture digitalization (College of Technology, Vietnam National University), etc. This group, rising from SoICT-HUST, received the highest award on ICT of the Vietnamese Talent 2018 for the Vietnamese text-to-speech solution.

• Nguyen Thi Thu Trang, Le Thanh Huong, Duong Viet Hung. Enhancing extractive summarization using non-negative matrix factorization with semantic aspects and sentence features. In ACM International Conference SoICT 2017. Nha Trang. 2017.
• Nguyen Thi Thu Trang, Dinh Viet Thang, Cao Tuan Dung. BKCA, an E-Consultancy System for Studying. In Advances in Information and Communication Technology. ICTA 2016. Vol 538. November 2016. Springer, Cham.
• Nguyen Thi Thu Trang, Rilliard Albert, Tran Do Dat, and d’Alessandro Christophe. Prosodic phrasing modeling for Vietnamese TTS using syntactic information. Interspeech 2014, pages 2332–2336. Singapore, September 2014.
• Nguyen Thi Thu Trang, Tran Do Dat, Rilliard Albert, Christophe D’Alessandro and Thi Ngoc Yen Pham. Intonation issues in HMM-based speech synthesis for Vietnamese. SLTU 2014, pp. 98-104. 14-16 May 2014. St. Petersburg, Russia.
• Nguyen Thi Thu Trang, Christophe D’Alessandro, Albert Rilliard, Tran Do Dat. HMM-based TTS for Hanoi Vietnamese: issues in design and evaluation. Interspeech 2013, pp. 2311-2315. 25-29 August 2013. Lyon, France.
• Nguyen Thi Thu Trang, Ninh-Thuan Truong, and Viet-Ha Nguyen. Verifying invariants of Java objects at runtime. International Journal IJSEKE, Vol. 21, No. 4, pp. 605-619, June 2011.
• Thao Van Do, Do-Dat Tran, Nguyen Thi Thu Trang. Non-uniform unit selection in Vietnamese speech synthesis. ACM International Conference SoICT 2011, pp. 165-171. October 2011. Hanoi, Vietnam.
• Anh-Tu Le, Do-Dat Tran, Nguyen Thi Thu Trang. A model of F0 contour for Vietnamese questions, applied in speech synthesis. ACM International Conference SoICT 2011, pp. 172-178. October 2011. Hanoi, Vietnam.

• National ICT Golden Globe 2009, by Ministry of Science and Technology
• Highest Award of the Vietnamese Talent on ICT, 2018

• IT3102, IT3102E: Object-Oriented Language and Theory
• IT4490: Software Design and Construction
• IT4945: ITSS Software Development

• National Project, funded by Ministry of Science and Technology: Automatic crawling, multi-label classification, relation extraction, extractive and abstractive summarization for single and multiple documents of Vietnamese news from Internet.