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Van Hai Do

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Van Hai Do
Former Postdoctoral Researcher
(+65) 84474054
 

Van Hai Do is a former postdoctoral researcher and member of the Automatic Speech Recognition Team led by Mark Hasegawa-Johnson.

Research Interests:

Speech recognition, pattern recognition, machine learning, statistical models, neural networks, deep learning, signal processing, forecasting models.        

 

ADSC Project:

Education:

  • 2009 – 2015: Ph.D, School of Computer Engineering, Nanyang Technological University, Singapore.
  • 2004 – 2006: Master of Science, Faculty of Information Technology, Hanoi University of Technology, Vietnam.
  • 1997 – 2002: Bachelor of Engineering, Faculty of Electronics and Telecommunications, Hanoi University of Technology, Vietnam.

Experience:

Publications:

  • Van Hai Do, “Acoustic Modeling for Speech Recognition under Limited Training Data Conditions,”Ph.D thesis, Nanyang Technological University, 2015.
  • Van Hai Do, Xiong Xiao, Eng Siong Chng, and Haizhou Li, “Context-dependent Phone Mapping for Acoustic Modeling of Under-resourced Languages,” the International Journal of Asian Language Processing, vol 23, no. 1, pp. 21-33, 2015.
  • Van Hai Do, Xiong Xiao, Eng Siong Chng, and Haizhou Li, “Cross-lingual phone mapping for large vocabulary speech recognition of under-resourced languages,”  the IEICE Transactions on Information and Systems, vol. E97-D, no.2, pp.285-295, 2014.
  • Haihua Xu, Jingyong Hou, Xiong Xiao, Van Tung Pham, Cheung-Chi Leung, Lei Wang, Van Hai Do, Hang Lv, Lei Xie, Bin Ma, Eng Siong Chng, Haizhou Li, “Approximate search of audio queries by using dtw with phone time boundary and data augmentation,” in Proc of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.
  • Nancy F. Chen, Van Tung Pham, Haihua Xu, Xiong Xiao, Van Hai Do, Chongjia Ni, I-Fan Chen, Sunil Sivadas, Chin-Hui Lee, Eng Siong Chng, Bin Ma, Haizhou Li, “Exemplar-inspired strategies for low-resource spoken keyword search in Swahili,” in Proc of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016.
  • Van Hai Do, Xiong Xiao, Eng Siong Chng, and Haizhou Li, “Distance Metric Learning for Kernel Density-Based Acoustic Model Under Limited Training Data Conditions,in Proc ofAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2015 (APSIPA ASC 2015).
  • Van Hai Do, Xiong Xiao, Haihua Xu, Eng Siong Chng, and Haizhou Li, “Multilingual Exemplar-Based Acoustic Model for the NIST Open KWS 2015 Evaluation,in Proc ofAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2015 (APSIPA ASC 2015).
  • Van Tung Pham, Haihua Xu, Van Hai Do, Tze Yuang Chong, Xiong Xiao, Eng Siong Chng, and Haizhou Li, “On the study of very low-resource language keyword search,in Proc ofAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2015 (APSIPA ASC 2015).
  • Haihua Xu, Van Hai Do, Xiong Xiao, and Eng Siong Chng, “A Comparative Study of BNF and DNN Multilingual Training on Cross-lingual Low-resource Speech Recognition,” in Proc of the Annual Conference of the International Speech Communication Association (Interspeech 2015), Sept, 6-10, 2015, Germany.
  • Van Hai Do, Xiong Xiao, Eng Siong Chng, and Haizhou Li, “Kernel Density based Acoustic Model with Cross-lingual Bottleneck Features for Resource Limited LVCSR,” in Proc of the Annual Conference of the International Speech Communication Association (Interspeech 2014), Sept, 14-18, 2014, Singapore.
  • Mirco Ravanelli, Van Hai Do, and Adam Janin “TANDEM-Bottleneck Feature Combination using Hierarchical Deep Neural Networks,” in Proc of the International Symposium on Chinese Spoken Language Processing (ISCSLP-2014), Sep.12-14, 2014, Singapore.
  • Van Hai Do, Xiong Xiao, Eng Siong Chng, Haizhou Li, “Context-dependent phone mapping for LVCSR of under-resourced languages,” in Proc of the Annual Conference of the International Speech Communication Association (Interspeech 2013), Aug. 25-29, 2013, Lyon, France.
  • Korbinian Riedhammer, Van Hai Do, and Jim Hieronymus, “A Study on LVCSR and Keyword Search for Tagalog,” in Proc of the Annual Conference of the International Speech Communication Association (Interspeech 2013), Aug. 25-29, 2013, Lyon, France.
  • Van Hai Do, Xiong Xiao, Eng Siong Chng, and Haizhou Li, “Context Dependant Phone Mapping for Cross-Lingual Acoustic Modeling,” in Proc of the International Symposium on Chinese Spoken Language Processing (ISCSLP-2012), Dec. 5-8, 2012, Hong Kong, China.
  • Van Hai Do, Xiong Xiao, Eng Siong Chng, and Haizhou Li, “A Phone Mapping Technique for Acoustic Modeling of Under-resourced Languages,” in Proc of the International Conference on Asian Language Processing (IALP-2012), Nov. 13-15, 2012, Hanoi, Vietnam.
  • Van Hai Do, Xiong Xiao, and Eng Siong Chng, “Comparison and Combination of Multilayer Perceptrons and Deep Belief Networks in Hybrid Automatic Speech Recognition Systems,” in Proc ofAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011 (APSIPA ASC 2011), Oct.18-21, 2011, Xi'an, China.
  • Van Hai Do, Xiong Xiao, Ville Hautamaki, and Eng Siong Chng, “Speech Attribute Recognition using Context-Dependent Modeling,” in Proc ofAsia-Pacific Signal and Information Processing Association Annual Summit and Conference 2011(APSIPA ASC 2011), Oct.18-21, 2011, Xi'an, China.

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