Zheng-Hua Tan

About Zheng-Hua Tan

Zheng-Hua Tan, With an exceptional h-index of 37 and a recent h-index of 31 (since 2020), a distinguished researcher at Aalborg Universitet, specializes in the field of Machine learning, deep learning, self-supervised learning, speech processing, multimodal..

His recent articles reflect a diverse array of research interests and contributions to the field:

Diffusion-based speech enhancement in matched and mismatched conditions using a heun-based sampler

Self-Supervised Pretraining for Robust Personalized Voice Activity Detection in Adverse Conditions

Utilization of acoustic signals with generative Gaussian and autoencoder modeling for condition-based maintenance of injection moulds

Noise-Robust Keyword Spotting through Self-supervised Pretraining

PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs

How to train your ears: Auditory-model emulation for large-dynamic-range inputs and mild-to-severe hearing losses

Neural Networks Hear You Loud And Clear: Hearing Loss Compensation Using Deep Neural Networks

Explicit construction of the minimum error variance estimator for stochastic LTI-ss systems

Zheng-Hua Tan Information

University

Position

Professor of Machine Learning and Speech Processing

Citations(all)

6801

Citations(since 2020)

4856

Cited By

3752

hIndex(all)

37

hIndex(since 2020)

31

i10Index(all)

119

i10Index(since 2020)

79

Email

University Profile Page

Google Scholar

Zheng-Hua Tan Skills & Research Interests

Machine learning

deep learning

self-supervised learning

speech processing

multimodal.

Top articles of Zheng-Hua Tan

Diffusion-based speech enhancement in matched and mismatched conditions using a heun-based sampler

2024/4/14

Self-Supervised Pretraining for Robust Personalized Voice Activity Detection in Adverse Conditions

arXiv preprint arXiv:2312.16613

2023/12/27

Jan Østergaard
Jan Østergaard

H-Index: 16

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

Utilization of acoustic signals with generative Gaussian and autoencoder modeling for condition-based maintenance of injection moulds

International Journal of Computer Integrated Manufacturing

2022/10/1

Noise-Robust Keyword Spotting through Self-supervised Pretraining

arXiv preprint arXiv:2403.18560

2024/3/27

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs

arXiv preprint arXiv:2312.09793

2023/12/15

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

How to train your ears: Auditory-model emulation for large-dynamic-range inputs and mild-to-severe hearing losses

IEEE/ACM Transactions on Audio, Speech, and Language Processing

2024/3/18

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

Neural Networks Hear You Loud And Clear: Hearing Loss Compensation Using Deep Neural Networks

arXiv preprint arXiv:2403.10420

2024/3/15

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

Jan Østergaard
Jan Østergaard

H-Index: 16

Explicit construction of the minimum error variance estimator for stochastic LTI-ss systems

Automatica

2023/7/1

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

Minimum processing near-end listening enhancement

IEEE/ACM Transactions on Audio, Speech, and Language Processing

2023/6/5

Improving Label-Deficient Keyword Spotting Through Self-Supervised Pretraining

2023/6/4

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

A Vision-Assisted Hearing Aid System Based on Deep Learning

2023/6/4

Daniel Michelsanti
Daniel Michelsanti

H-Index: 6

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting

2023/6/4

Iván López-Espejo
Iván López-Espejo

H-Index: 5

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

Radio sensing with large intelligent surface for 6G

2023/6/4

Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners

2023/6/1

Masked Autoencoders with Multi-Window Attention Are Better Audio Learners

arXiv preprint arXiv:2306.00561

2023/6/1

Speech inpainting: Context-based speech synthesis guided by video

arXiv preprint arXiv:2306.00489

2023/6/1

On the deficiency of intelligibility metrics as proxies for subjective intelligibility

Speech Communication

2023/5/1

Iván López-Espejo
Iván López-Espejo

H-Index: 5

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

PAC-Bayesian bounds for learning LTI-ss systems with input from empirical loss

arXiv preprint arXiv:2303.16816

2023/3/29

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

Rafael Wisniewski
Rafael Wisniewski

H-Index: 21

A Wideband Reconfigurable Reflectarray based on Aperture Coupled Delay Line

2023/3/26

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

Shuai Zhang
Shuai Zhang

H-Index: 25

Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise

IEEE Open Journal of Signal Processing

2023/3/20

Zheng-Hua Tan
Zheng-Hua Tan

H-Index: 26

See List of Professors in Zheng-Hua Tan University(Aalborg Universitet)

Co-Authors

academic-engine