Dung T. Tran

According to our database, Dung T. Tran authored at least 26 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Energy-Efficient Optimization for Mobile Edge Computing With Quantum Machine Learning.

James Adu Ansere, Dung T. Tran, Octavia A. Dobre, Hyundong Shin, George K. Karagiannidis, Trung Q. Duong

IEEE Wirel. Commun. Lett., March, 2024

2019

Dry, Focus, and Transcribe: End-to-End Integration of Dereverberation, Beamforming, and ASR.

Aswin Shanmugam Subramanian, Xiaofei Wang, Shinji Watanabe, Toru Taniguchi, Dung T. Tran, Yuya Fujita

CoRR, 2019

Generalized Weighted-Prediction-Error Dereverberation with Varying Source Priors For Reverberant Speech Recognition.

Toru Taniguchi, Aswin Shanmugam Subramanian, Xiaofei Wang, Dung T. Tran, Yuya Fujita, Shinji Watanabe

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

Speech Enhancement Using End-to-End Speech Recognition Objectives.

Aswin Shanmugam Subramanian, Xiaofei Wang, Murali Karthick Baskar, Shinji Watanabe, Toru Taniguchi, Dung T. Tran, Yuya Fujita

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

2018

Speaker Selective Beamformer with Keyword Mask Estimation.

Yusuke Kida, Dung T. Tran, Motoi Omachi, Toru Taniguchi, Yuya Fujita

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Multi Scale Feedback Connection for Noise Robust Acoustic Modeling.

Dung T. Tran, Ken-ichi Iso, Motoi Omachi, Yuya Fujita

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Uncertainty Decoding with Adaptive Sampling for Noise Robust DNN-Based Acoustic Modeling.

Dung T. Tran, Marc Delcroix, Atsunori Ogawa, Tomohiro Nakatani

Proceedings of the Interspeech 2017, 2017

Unfolded Deep Recurrent Convolutional Neural Network with Jump Ahead Connections for Acoustic Modeling.

Dung T. Tran, Marc Delcroix, Shigeki Karita, Michael Hentschel, Atsunori Ogawa, Tomohiro Nakatani

Proceedings of the Interspeech 2017, 2017

Feedback connection for deep neural network-based acoustic modeling.

Dung T. Tran, Marc Delcroix, Atsunori Ogawa, Christian Huemmer, Tomohiro Nakatani

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Online meeting recognition in noisy environments with time-frequency mask based MVDR beamforming.

Shoko Araki, Nobutaka Ito, Marc Delcroix, Atsunori Ogawa, Keisuke Kinoshita, Takuya Higuchi, Takuya Yoshioka, Dung T. Tran, Shigeki Karita, Tomohiro Nakatani

Proceedings of the Hands-free Speech Communications and Microphone Arrays, 2017

2016

Factorized Linear Input Network for Acoustic Model Adaptation in Noisy Conditions.

Dung T. Tran, Marc Delcroix, Atsunori Ogawa, Tomohiro Nakatani

Proceedings of the Interspeech 2016, 2016

Context Adaptive Neural Network for Rapid Adaptation of Deep CNN Based Acoustic Models.

Marc Delcroix, Keisuke Kinoshita, Atsunori Ogawa, Takuya Yoshioka, Dung T. Tran, Tomohiro Nakatani

Proceedings of the Interspeech 2016, 2016

A new approach to measure the utilizable bandwidth.

Dung T. Tran, Phong T. Tran, Tu T. Tran

Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication, 2016

2015

Nonparametric Uncertainty Estimation and Propagation for Noise Robust ASR.

Dung T. Tran, Emmanuel Vincent, Denis Jouvet

IEEE ACM Trans. Audio Speech Lang. Process., 2015

New filter techniques to improve the accuracy of available bandwidth measurement.

Dung T. Tran, Anh N. Nguyen

Proceedings of the 9th International Conference on Ubiquitous Information Management and Communication, 2015

Discriminative uncertainty estimation for noise robust ASR.

Dung T. Tran, Emmanuel Vincent, Denis Jouvet

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Fast DNN training based on auxiliary function technique.

Dung T. Tran, Nobutaka Ono, Emmanuel Vincent

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

A taxonomy of applying filter techniques to improve the available bandwidth estimations.

Uyen C. Nguyen, Dung T. Tran, Giang V. Nguyen

Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication, 2014

Fusion of multiple uncertainty estimators and propagators for noise robust ASR.

Dung T. Tran, Emmanuel Vincent, Denis Jouvet

Proceedings of the IEEE International Conference on Acoustics, 2014

Extension of uncertainty propagation to dynamic MFCCS for noise robust ASR.

Dung T. Tran, Emmanuel Vincent, Denis Jouvet

Proceedings of the IEEE International Conference on Acoustics, 2014

Investigating stranded GMM for improving automatic speech recognition.

Arseniy Gorin, Denis Jouvet, Emmanuel Vincent, Dung T. Tran

Proceedings of the 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays, 2014

2012

A routing strategy for non-cooperation wireless multi-hop ad hoc networks.

Dung T. Tran, Trang T. M. Truong, Thanh G. Le

Mob. Inf. Syst., 2012

2011

A routing strategy for non-cooperation wireless multi-hop ad hoc networks.

Dung T. Tran, Trang T. M. Truong

Proceedings of the MoMM'2011, 2011

2010

A Self-Tuning Protocol for Optimal Bandwidth Allocation in Wireless Networks.

András Faragó, Dung T. Tran

Proceedings of the Fourth IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2010

2009

Increased Connectivity at Lower Cost: The Case for Multi-Radio Nodes in Multi-Hop Wireless Networks.

Stefano Basagni, Andras Farago, Maurizio A. Nanni, Dung T. Tran

Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

2006

A probabilistic model with parsinomious representation for sensor fusion in recognizing activity in pervasive environment.

Dung T. Tran, Dinh Q. Phung

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006