Yanhui Tu
Orcid: 0000-0001-5219-8205
According to our database1,
Yanhui Tu
authored at least 35 papers
between 2014 and 2024.
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Bibliography
2024
Revisiting the potential value of vital signs in the real-time prediction of mortality risk in intensive care unit patients.
J. Big Data, December, 2024
ACM Trans. Comput. Heal., April, 2024
2023
Early prediction of MODS interventions in the intensive care unit using machine learning.
J. Big Data, December, 2023
2022
Dilated Nested Arrays With More Degrees of Freedom (DOFs) and Less Mutual Coupling - Part I: The Fundamental Geometry.
IEEE Trans. Signal Process., 2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022
2021
Acoustic Modeling for Multi-Array Conversational Speech Recognition in the Chime-6 Challenge.
Proceedings of the IEEE Spoken Language Technology Workshop, 2021
Internet Traffic Forecasting using Temporal-Topological Graph Convolutional Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
A Multi-Target SNR-Progressive Learning Approach to Regression Based Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2020
Cooperative Optimization for OFDMA Resource Allocation in Multi-RRH Millimeter-Wave CRAN.
IEEE Access, 2020
Using Speech Enhancement Preprocessing for Speech Emotion Recognition in Realistic Noisy Conditions.
Proceedings of the Interspeech 2020, 2020
A Space-and-Speaker-Aware Iterative Mask Estimation Approach to Multi-Channel Speech Recognition in the CHiME-6 Challenge.
Proceedings of the Interspeech 2020, 2020
Proceedings of the Neural Information Processing - 27th International Conference, 2020
2D-to-2D Mask Estimation for Speech Enhancement Based on Fully Convolutional Neural Network.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
High-Resolution Attention Network with Acoustic Segment Model for Acoustic Scene Classification.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
2019
Speech Enhancement Based on Teacher-Student Deep Learning Using Improved Speech Presence Probability for Noise-Robust Speech Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2019
An iterative mask estimation approach to deep learning based multi-channel speech recognition.
Speech Commun., 2019
A Multi-Task Neural Network Architecture for Renal Dysfunction Prediction in Heart Failure Patients With Electronic Health Records.
IEEE Access, 2019
DNN Training Based on Classic Gain Function for Single-channel Speech Enhancement and Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019
A Speech Enhancement Neural Network Architecture with SNR-Progressive Multi-Target Learning for Robust Speech Recognition.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019
2018
A Speaker-Dependent Approach to Single-Channel Joint Speech Separation and Acoustic Modeling Based on Deep Neural Networks for Robust Recognition of Multi-Talker Speech.
J. Signal Process. Syst., 2018
A Hybrid Approach to Combining Conventional and Deep Learning Techniques for Single-Channel Speech Enhancement and Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
Online LSTM-based Iterative Mask Estimation for Multi-Channel Speech Enhancement and ASR.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2018
2017
An information fusion framework with multi-channel feature concatenation and multi-perspective system combination for the deep-learning-based robust recognition of microphone array speech.
Comput. Speech Lang., 2017
On Design of Robust Deep Models for CHiME-4 Multi-Channel Speech Recognition with Multiple Configurations of Array Microphones.
Proceedings of the Interspeech 2017, 2017
LSTM-based iterative mask estimation and post-processing for multi-channel speech enhancement.
Proceedings of the 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2017
2016
A Regression Approach to Single-Channel Speech Separation Via High-Resolution Deep Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2016
A speaker-dependent deep learning approach to joint speech separation and acoustic modeling for multi-talker automatic speech recognition.
Proceedings of the 10th International Symposium on Chinese Spoken Language Processing, 2016
2015
Speech Separation based on signal-noise-dependent deep neural networks for robust speech recognition.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
An information fusion approach to recognizing microphone array speech in the CHiME-3 challenge based on a deep learning framework.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015
2014
Speech separation based on improved deep neural networks with dual outputs of speech features for both target and interfering speakers.
Proceedings of the 9th International Symposium on Chinese Spoken Language Processing, 2014