Yan-Hui Tu - Concepedia

Author

Yan-Hui Tu

University of Science and Technology of China

Also Known As

Y. Tu, Yan-Hui Tu, Yanhui Tu

Publications

686

Citations

H-Index

Concepts

All Affiliations

University of Science and Technology of China Georgia Institute of Technology

About

Yan-Hui Tu is an author at University of Science and Technology of China specializing in engineering, speech recognition, and speech processing.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	13	15	582
2	Health Sciences	10	10	454
3	Computer Science	4	4	154
4	Data Science	3	3	129
5	Computer Engineering	1	1	45

Yan-Hui Tu

Publications

623

Citations

H-Index

Page 1

	Year	Citations
A Regression Approach to Single-Channel Speech Separation Via High-Resolution Deep Neural Networks Jun Du, Yan-Hui Tu, Li-Rong Dai, IEEE/ACM Transactions on Audio Speech and Language Processing Source SeparationDeep Neural NetworksSpeech PerceptionMachine LearningEngineering	2016	97
Speech Enhancement Based on Teacher–Student Deep Learning Using Improved Speech Presence Probability for Noise-Robust Speech Recognition Yan-Hui Tu, Jun Du, Chin‐Hui Lee IEEE/ACM Transactions on Audio Speech and Language Processing EngineeringMachine LearningSpeech EnhancementSpoken Language ProcessingSpeech Recognition	2019	90
Speech separation of a target speaker based on deep neural networks Jun Du, Yan-Hui Tu, Yong Xu, Source SeparationDeep Neural NetworksSpeech PerceptionMachine LearningTarget Speaker	2014	76
Speech separation based on improved deep neural networks with dual outputs of speech features for both target and interfering speakers Yan-Hui Tu, Jun Du, Yong Xu, Source SeparationDual OutputsEngineeringHealth SciencesDeep Learning	2014	59
Dilated Nested Arrays With More Degrees of Freedom (DOFs) and Less Mutual Coupling—Part I: The Fundamental Geometry Ahmed M. A. Shaalan, Jun Du, Yan-Hui Tu IEEE Transactions on Signal Processing RadarArray ProcessingRobust DirectionEngineeringNested Arrays	2022	45
Deep neural network based speech separation for robust speech recognition Yan-Hui Tu, Jun Du, Yong Xu, Source SeparationSpeech PerceptionEngineeringMachine LearningHealth Sciences	2014	33
On Design of Robust Deep Models for CHiME-4 Multi-Channel Speech Recognition with Multiple Configurations of Array Microphones Yan-Hui Tu, Jun Du, Lei Sun, Array MicrophonesEngineeringRobust Deep ModelsMulti-speaker Speech RecognitionChime Challenge	2017	27
A Hybrid Approach to Combining Conventional and Deep Learning Techniques for Single-Channel Speech Enhancement and Recognition Yan-Hui Tu, Ivan Tashev, Shuayb Zarar, EngineeringMachine LearningSpeech EnhancementConventional Speech-enhancement TechniquesSpeech Recognition	2018	26
An iterative mask estimation approach to deep learning based multi-channel speech recognition Yan-Hui Tu, Jun Du, Lei Sun, Speech Communication EngineeringMachine LearningMulti-speaker Speech RecognitionMulti-channel Speech RecognitionRobust Speech Recognition	2018	25
A Multi-Target SNR-Progressive Learning Approach to Regression Based Speech Enhancement Yan-Hui Tu, Jun Du, Tian Gao, IEEE/ACM Transactions on Audio Speech and Language Processing	2020	24

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