Electrical and Computer Engineering
University of Illinois, Urbana-Champaign Email: email@example.com Github
I'm a third-year PhD student, and a proud member of the UI Statistical Speech Technology group led by Prof. Mark Hasegawa-Johnson.
Current research interest includes:
Nonparametric and hierarchical Bayesian inference
Natural language understanding
Mathematical model of multimodal language acquisition
Liming Wang, Mark Hasegawa-Johnson. Multimodal Word Discovery with Spoken Descriptions
and Visual Concepts. Transactions on Audio, Speech and Language Processing. paper
Liming Wang, Mark Hasegawa-Johnson. Align or Attend? Toward More Efficient and Accurate Spoken Word Discovery Using Speech-To-Image Retrieval. Submitted to International Conference
on Acoustics, Speech and Signal Processing (ICASSP). paper
Liming Wang, Mark Hasegawa-Johnson. A DNN-HMM-DNN Hybrid Model for Discovering Word-like Units from Spoken Captions and Image Regions.Interspeech 2020. paper
Liming Wang, Mark Hasegawa-Johnson. Multimodal Word Discovery with Phone Sequence and
Image Concepts. Interspeech 2019 (oral presentation). paperpresentation
Graham Neubig et al., XNMT: The eXtensible Neural Machine Translation Toolkit. Proceedings
of the 13th Conference of the Association for Machine Translation in the America, 2018.
Odette Scharenborg et al., Linguistic Unit Discovery from Multimodal Inputs in Unwritten
Languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop. International Conference
on Acoustics, Speech and Signal Processing, 2017.