Artykuły udostępnione publicznie: - Ming TuWięcej informacji
Dostępne w jakimś miejscu: 10
Accent Identification by Combining Deep Neural Networks and Recurrent Neural Networks Trained on Long and Short Term Features.
Y Jiao, M Tu, V Berisha, JM Liss
Interspeech, 2388-2392, 2016
Upoważnienia: US National Institutes of Health
Interpretable Objective Assessment of Dysarthric Speech Based on Deep Neural Networks.
M Tu, V Berisha, J Liss
Interspeech, 1849-1853, 2017
Upoważnienia: US National Science Foundation, US National Institutes of Health
The relationship between perceptual disturbances in dysarthric speech and automatic speech recognition performance
M Tu, A Wisler, V Berisha, JM Liss
The Journal of the Acoustical Society of America 140 (5), EL416-EL422, 2016
Upoważnienia: US National Institutes of Health
Convex weighting criteria for speaking rate estimation
Y Jiao, V Berisha, M Tu, J Liss
IEEE/ACM transactions on audio, speech, and language processing 23 (9), 1421 …, 2015
Upoważnienia: US National Institutes of Health
Online speaking rate estimation using recurrent neural networks
Y Jiao, M Tu, V Berisha, J Liss
2016 ieee international conference on acoustics, speech and signal …, 2016
Upoważnienia: US National Institutes of Health
Articulation constrained learning with application to speech emotion recognition
M Shah, M Tu, V Berisha, C Chakrabarti, A Spanias
EURASIP journal on audio, speech, and music processing 2019, 1-17, 2019
Upoważnienia: US National Science Foundation, US National Institutes of Health
Objective assessment of pathological speech using distribution regression
M Tu, V Berisha, J Liss
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
Upoważnienia: US National Institutes of Health
Computational auditory scene analysis based voice activity detection
M Tu, X Xie, X Na
2014 22nd International Conference on Pattern Recognition, 797-802, 2014
Upoważnienia: National Natural Science Foundation of China
Improving voice quality of HMM-based speech synthesis using voice conversion method
Y Jiao, X Xie, X Na, M Tu
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Upoważnienia: National Natural Science Foundation of China
Improving efficiency in sparse learning with the feedforward inhibitory motif
Z Xu, S Skorheim, M Tu, V Berisha, S Yu, J Seo, M Bazhenov, Y Cao
Neurocomputing 267, 141-151, 2017
Upoważnienia: US Department of Defense
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