DO QUOC TRUONG
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Ph.D. (Computer Science, Nara Institute of Science and Technology, Japan, 2018)
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M.Sc. (Computer Science, Nara Institute of Science and Technology, Japan, 2015)
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B.Sc. (Information Technology, VNU University of Engineering and Technology, Vietnam, 2008)
Dr. Do Quoc Truong is a Lecturer at Phenikaa University, with a research focus on speech and language processing technologies. He is the founder and CEO of Vietnam AI Solutions JSC (VAIS), where he leads product development for ASR and TTS systems in Vietnamese.
With international experience at Edinburgh University and NAIST Japan, Dr. Truong brings a multidisciplinary approach to neural language models, inverse text normalization, and ASR/NER integration. His academic output includes top-tier conference presentations at ICASSP, Interspeech, and O-COCOSDA. He is an active reviewer for conferences such as KSE and CSoNet and contributes to bridging academia and industry in AI-powered speech technologies.
RESEARCH INTERESTS
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Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) Systems
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Named Entity Recognition for Spoken Language
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Neural Adaptation and Inverse Text Normalization
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Vietnamese Language Processing
SELECTED PUBLICATIONS
- B. Nguyen, L. D. M. Nhat, Q. M. Nguyen, Q. T. Do, C. M. Luong and A. Waibel, “AdapITN: A Fast, Reliable, and Dynamic Adaptive Inverse Text Normalization,” ICASSP 2023 – 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Rhodes Island, Greece, 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10094599.
- H. Nguyen, T. -B. Nguyen, Q. -T. Do and T. -L. Nguyen, “End-to-end named entity recognition for Vietnamese speech,” 2022 25th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA), Hanoi, Vietnam, 2022, pp. 1-5, doi: 10.1109/O-COCOSDA202257103.2022.9997862.
- Nguyen, Thi Thu Hien, Thai Binh Nguyen, Ngoc Phuong Pham, Quoc TRUONG, Tu Luc Le, and Chi Mai Luong. “Toward human-friendly asr systems: Recovering capitalization and punctuation for vietnamese text.”IEICE TRANSACTIONS on Information and Systems 104, no. 8 (2021): 1195-1203.
- N. Phuong, C. T. Quang, Q. T. Do and M. C. Luong, “A Study on Neural-Network-Based Text-to-Speech Adaptation Techniques for Vietnamese,” 2021 24th Conference of the Oriental COCOSDA International Committee for the Co-ordination and Standardisation of Speech Databases and Assessment Techniques (O-COCOSDA), Singapore, Singapore, 2021, pp. 199-205, doi: 10.1109/O-COCOSDA202152914.2021.9660445.
- T. Quang, Q. Minh Nguyen, P. N. Phuong and Q. Truong Do, “Improving Speaker Verification in Noisy Environment Using DNN Classifier,” 2021 RIVF International Conference on Computing and Communication Technologies (RIVF), Hanoi, Vietnam, 2021, pp. 1-5, doi: 10.1109/RIVF51545.2021.9642074.
- Nguyen, T.B., Nguyen, Q.M., Nguyen, T.T.H., Do, Q.T., Luong, C.M. (2020) Improving Vietnamese Named Entity Recognition from Speech Using Word Capitalization and Punctuation Recovery Models. Proc. Interspeech 2020, 4263-4267, doi: 10.21437/Interspeech.2020-1896.
PROFESSIONAL CERTIFICATIONS
- CISCO NAAC Certificate
COURSES TAUGHT
- CSE702028 – Programming II
- CSE703065 – Natural Language Processing
15 Floor, A9 Building
Phenikaa University
Nguyen Van Trac, Yen Nghia
Ha Noi, Viet Nam