Chin‐Hui Lee

17.6k citations

462 papers · 12.0k indexed · 4 hit papers · h-index 51

Artificial Intelligence top 0.05%
Signal Processing top 0.01%
Computer Vision and Pattern Recognition top 0.5%
Computational Mechanics top 0.5%
Cognitive Neuroscience top 2%

Co-authors: Jun Du J.-L. Gauvain Li-Rong DaiYong XuSabato Marco Siniscalchi Biing‐Hwang Juang A. Sankar Wu Hou
Topics: Speech Recognition and Synthesis (319 papers)Speech and Audio Processing (300 papers)Music and Audio Processing (203 papers)
Cited by: Signal Processing Artificial Intelligence Computer Vision and Pattern Recognition
Journals: Journal of Clinical Oncology NeuroImage Proceedings of the IEEE
Partner nations: United States China Italy

In The Last Decade

Chin‐Hui Lee

449 papers receiving 10.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Maximum a posteriori estimation for multivariate Gaussian mixture observations of Markov chains

1994 1.5k citations Chin‐Hui Lee et al. profile →
A Regression Approach to Speech Enhancement Based on Deep Neural Networks

2014 935 citations Jun Du, Li-Rong Dai et al. IEEE/ACM Transactions on Audio Speech and Language Processing profile →
An Experimental Study on Speech Enhancement Based on Deep Neural Networks

2013 676 citations Jun Du, Li-Rong Dai et al. profile →
A deep learning approach to automatic teeth detection and numbering based on object detection in dental periapical films

2019 223 citations Ji Wu, Chin‐Hui Lee et al. profile →

Peers

Countries citing papers authored by Chin‐Hui Lee

Since Specialization

Citations

This map shows the geographic impact of Chin‐Hui Lee's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Chin‐Hui Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chin‐Hui Lee more than expected).

Fields of papers citing papers by Chin‐Hui Lee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Hui Lee. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Chin‐Hui Lee. The network helps show where Chin‐Hui Lee may publish in the future.

Co-authorship network of co-authors of Chin‐Hui Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Chin‐Hui Lee. A scholar is included among the top collaborators of Chin‐Hui Lee based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chin‐Hui Lee. Chin‐Hui Lee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Collaborative Viseme Subword and End-to-End Modeling for Word-Level Lip Reading 2024 ·IEEE Transactions on Multimedia ·(unknown),Qing Wang,Jun Du,(unknown),(unknown),(unknown),Jia Pan,Chin‐Hui Lee	2
2	A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition 2024 ·(unknown),Hang Chen,Jun Du,Ruoyu Wang,Shihao Chen,(unknown),Chin‐Hui Lee	3
3	AD-TUNING: An Adaptive CHILD-TUNING Approach to Efficient Hyperparameter Optimization of Child Networks for Speech Processing Tasks in the SUPERB Benchmark 2023 ·(unknown),(unknown),(unknown),(unknown),Baoxiang Li,Jiakui Li,Chin‐Hui Lee	0
4	A Study on Joint Modeling and Data Augmentation of Multi-Modalities for Audio-Visual Scene Classification 2022 ·Nova Science Publishers (Nova Science Publishers, Inc.) ·Qing Wang,Jun Du,Siyuan Zheng,(unknown),Yajian Wang,(unknown),Hu Hu,Chao-Han Huck Yang,Sabato Marco Siniscalchi,Yannan Wang,Chin‐Hui Lee	2
5	Deep Learning Based Audio-Visual Multi-Speaker DOA Estimation Using Permutation-Free Loss Function 2022 ·Qing Wang,(unknown),(unknown),Zhe Wang,Yuyang Wang,Jun Du,Chin‐Hui Lee	3
6	An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition 2022 ·Nova Science Publishers (Nova Science Publishers, Inc.) ·Chao-Han Huck Yang,Jun Qi,Sabato Marco Siniscalchi,Chin‐Hui Lee	3
7	PATE-AAE: Incorporating Adversarial Autoencoder into Private Aggregation of Teacher Ensembles for Spoken Command Classification 2021 ·Nova Science Publishers (Nova Science Publishers, Inc.) ·Chao-Han Huck Yang,Sabato Marco Siniscalchi,Chin‐Hui Lee	10
8	Correlating subword articulation with lip shapes for embedding aware audio-visual speech enhancement 2021 ·Neural Networks ·(unknown),Jun Du,Yu Hu,Li-Rong Dai,Baocai Yin,Chin‐Hui Lee	16
9	Enhanced Adversarial Strategically-Timed Attacks against Deep Reinforcement Learning 2020 ·arXiv (Cornell University) ·Chao-Han Huck Yang,Jun Qi,Pin‐Yu Chen,Yi Ouyang,(unknown),Chin‐Hui Lee,Xiaoli Ma	11
10	Improving Audio-visual Speech Recognition Performance with Cross-modal Student-teacher Training 2019 ·Nova Science Publishers (Nova Science Publishers, Inc.) ·Wei Li,Sicheng Wang,Ming Lei,Sabato Marco Siniscalchi,Chin‐Hui Lee	13
11	Using Generalized Gaussian Distributions to Improve Regression Error Modeling for Deep Learning-Based Speech Enhancement 2019 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·(unknown),Jun Du,Qingfeng Liu,Chin‐Hui Lee	20
12	Joint noise and mask aware training for DNN-based speech enhancement with SUB-band features 2017 ·Qing Wang,Jun Du,Li-Rong Dai,Chin‐Hui Lee	13
13	A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management Through Dynamic Stochastic State Evolution 2015 ·IEEE/ACM Transactions on Audio Speech and Language Processing ·Ji Wu,Miao Li,Chin‐Hui Lee	10
14	An Improved Parametric Relaxation Approach to Blood Flow Signal Estimation with Single-Ensemble Samples in Color Flow Imaging 2013 ·Journal of Medical and Biological Engineering ·Zhiyuan Shen,Naizhang Feng,Yi Shen,Chin‐Hui Lee	2
15	LASSO model adaptation for automatic speech recognition 2011 ·International Conference on Machine Learning ·Jinyu Li,Ming Yuan,Chin‐Hui Lee	7
16	MINIMUM CLASSIFICATION ERROR TRAINING TO IMPROVE ISOLATED CHORD RECOGNITION 2009 ·International Symposium/Conference on Music Information Retrieval ·(unknown),(unknown),Sabato Marco Siniscalchi,(unknown),Shigeki Sagayama,Chin‐Hui Lee	11
17	On Automatic Speech Recognition at the Dawn of the 21st Century 2003 ·IEICE Transactions on Information and Systems ·Chin‐Hui Lee	14
18	DESIGN PRINCIPLES AND TOOLS FOR MULTIMODAL DIALOG SYSTEMS 2000 ·Alexandros Potamianos,Hong-Kwang Jeff Kuo,Chin‐Hui Lee,A. N. Pargellis,(unknown),Qiru Zhou	14
19	Automatic Speech and Speaker Recognition: Advanced Topics 1999 ·CERN Document Server (European Organization for Nuclear Research) ·Chin‐Hui Lee,Frank K. Soong,Kuldip K. Paliwal	114
20	A vocabulary independent discriminatively trained method for rejection of non-keywords in sub word based speech recognition 1995 ·R.A. Sukkar,Chin‐Hui Lee,(unknown)	7

About Chin‐Hui Lee

Chin‐Hui Lee is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 462 papers that have together received 12.0k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (319 papers), Speech and Audio Processing (300 papers) and Music and Audio Processing (203 papers). The work is most often cited by research in Signal Processing (8.4k citations), Artificial Intelligence (8.7k citations) and Computer Vision and Pattern Recognition (1.5k citations). Chin‐Hui Lee has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Jun Du, J.-L. Gauvain, Li-Rong Dai, Yong Xu, Sabato Marco Siniscalchi, Biing‐Hwang Juang, A. Sankar, Wu Hou, Qiang Huo and Frank K. Soong. Their work appears in journals such as Journal of Clinical Oncology, NeuroImage and Proceedings of the IEEE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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