Ming Tu

According to our database1, Ming Tu authored at least 26 papers between 2012 and 2019.

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Bibliography

2019
Multiple instance learning with graph neural networks.
CoRR, 2019

Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs.
CoRR, 2019

I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences.
CoRR, 2019

Towards adversarial learning of speaker-invariant representation for speech emotion recognition.
CoRR, 2019

Multi-hop Reading Comprehension across Multiple Documents by Reasoning over Heterogeneous Graphs.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Investigating the role of L1 in automatic pronunciation evaluation of L2 speech.
CoRR, 2018

A Discriminative Acoustic-Prosodic Approach for Measuring Local Entrainment.
CoRR, 2018

A Discriminative Acoustic-Prosodic Approach for Measuring Local Entrainment.
Proceedings of the Interspeech 2018, 2018

Investigating the Role of L1 in Automatic Pronunciation Evaluation of L2 Speech.
Proceedings of the Interspeech 2018, 2018

Simulating Dysarthric Speech for Training Data Augmentation in Clinical Speech Applications.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Improving efficiency in sparse learning with the feedforward inhibitory motif.
Neurocomputing, 2017

Interpretable Objective Assessment of Dysarthric Speech Based on Deep Neural Networks.
Proceedings of the Interspeech 2017, 2017

Speech enhancement based on Deep Neural Networks with skip connections.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Objective assessment of pathological speech using distribution regression.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Reducing the Model Order of Deep Neural Networks Using Information Theory.
CoRR, 2016

Reducing the Model Order of Deep Neural Networks Using Information Theory.
Proceedings of the IEEE Computer Society Annual Symposium on VLSI, 2016

Accent Identification by Combining Deep Neural Networks and Recurrent Neural Networks Trained on Long and Short Term Features.
Proceedings of the Interspeech 2016, 2016

Ranking the parameters of deep neural networks using the fisher information.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Online speaking rate estimation using recurrent neural networks.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Models for objective evaluation of dysarthric speech from data annotated by multiple listeners.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Convex Weighting Criteria for Speaking Rate Estimation.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2015

Estimating speaking rate in spontaneous discourse.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Towards improving statistical model based voice activity detection.
Proceedings of the INTERSPEECH 2014, 2014

Computational Auditory Scene Analysis Based Voice Activity Detection.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Improving voice quality of HMM-based speech synthesis using voice conversion method.
Proceedings of the IEEE International Conference on Acoustics, 2014

2012
OpenCDS ePHR: an Open-Source, Standards-Based Decision Support Platform for Electronic Public Health Reporting.
Proceedings of the AMIA 2012, 2012


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