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Zheng-Hua Tan

Zheng-Hua Tan

D-Index & Metrics

Computer Science

D-Index
35
Citations
6263
World Ranking
11577
National Ranking
52

Overview

Zheng-Hua Tan is affiliated with Aalborg University in Denmark and has a research profile centered around computer science and engineering. Across their extensive publication record, they have made contributions particularly in the fields of signal processing and artificial intelligence, with additional work in electrical and electronic engineering and computational mechanics.

Their research topics cover several areas, including:

  • Speech and Audio Processing
  • Speech Recognition and Synthesis
  • Music and Audio Processing
  • Advanced Adaptive Filtering Techniques
  • Hearing Loss and Rehabilitation
  • Indoor and Outdoor Localization Technologies
  • Anomaly Detection Techniques and Applications

Zheng-Hua Tan has coauthored frequently with several researchers. The most common collaborators include Jesper Jensen, Jan Østergaard, Petar Popovski, Zhanyu Ma, and John Leth.

The scientist's work has been published in a variety of venues, with notable recurring appearances in:

  • arXiv (Cornell University)
  • IEEE/ACM Transactions on Audio Speech and Language Processing
  • IEEE Access
  • Theory and Practice in Language Studies
  • Research Portal (King's College London)

Representative recent papers by Zheng-Hua Tan include:

  • Deep Spoken Keyword Spotting: An Overview, 2022, Research Portal (King's College London)
  • A new (2+1)-dimensional like-Harry-Dym equation with derivation and soliton solutions, 2025, Applied Mathematics Letters
  • Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • A Dual-Polarized Reconfigurable Reflectarray With a Thin Liquid Crystal Layer and 2-D Beam Scanning, 2023, IEEE Transactions on Antennas and Propagation
  • OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer, 2020, IEEE Transactions on Image Processing

The scientific outputs span multiple domains related to audio, speech, and signal technologies, reflecting a broad interest in both theoretical and applied aspects of these fields.

Best Publications

  • Permutation invariant training of deep models for speaker-independent multi-talker speech separation

    Dong Yu;Morten Kolbaek;Zheng-Hua Tan;Jesper Jensen

  • Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks

    Morten Kolbaek;Dong Yu;Zheng-Hua Tan;Jesper Jensen

  • Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification

    Daniel Michelsanti;Zheng-Hua Tan

  • An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation

    Daniel Michelsanti;Zheng-Hua Tan;Shi-Xiong Zhang;Yong Xu

  • Speech Intelligibility Potential of General and Specialized Deep Neural Network Based Speech Enhancement Systems

    Morten Kolbk;Zheng-Hua Tan;Jesper Jensen

  • Deep Spoken Keyword Spotting: An Overview

    Unknown

  • Adaptive protection combined with machine learning for microgrids

    Hengwei Lin;Kai Sun;Zheng Hua Tan;Chengxi Liu

  • On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement

    Morten Kolbaek;Zheng-Hua Tan;Soren Holdt Jensen;Jesper Jensen

  • rVAD: An unsupervised segment-based robust voice activity detection method

    Zheng-Hua Tan;Achintya Kumar Sarkar;Najim Dehak

  • RedDots replayed: A new replay spoofing attack corpus for text-dependent speaker verification research

    Tomi Kinnunen;Sahidullah;Mauro Falcone;Luca Costantini

  • Decorrelation of Neutral Vector Variables: Theory and Applications

    Zhanyu Ma;Jing-Hao Xue;Arne Leijon;Zheng-Hua Tan

  • Low-Complexity Variable Frame Rate Analysis for Speech Recognition and Voice Activity Detection

    Zheng-Hua Tan;Børge Lindberg

  • Spoofing Detection in Automatic Speaker Verification Systems Using DNN Classifiers and Dynamic Acoustic Features

    Hong Yu;Zheng-Hua Tan;Zhanyu Ma;Rainer Martin

  • Automatic speech recognition on mobile devices and over communication networks

    Zheng-Hua Tan;Børge Lindberg

  • Automatic speech recognition over error-prone wireless networks☆

    Zheng-Hua Tan;Paul Dalsgaard;Børge Lindberg

  • DNN Filter Bank Cepstral Coefficients for Spoofing Detection

    Hong Yu;Zheng-Hua Tan;Yiming Zhang;Zhanyu Ma

  • Speech enhancement using Long Short-Term Memory based recurrent Neural Networks for noise robust Speaker Verification

    Morten Kolboek;Zheng-Hua Tan;Jesper Jensen

  • Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization.

    Jiyang Xie;Zhanyu Ma;Jianjun Lei;Guoqiang Zhang

  • ASSOCIATIVE MEMORY USING SYNCHRONIZATION IN A CHAOTIC NEURAL NETWORK

    Unknown

  • Monaural Speech Enhancement Using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure

    Morten Kolbcek;Zheng-Hua Tan;Jesper Jensen

  • Integrated Spoofing Countermeasures and Automatic Speaker Verification: an Evaluation on ASVspoof 2015

    Sahidullah;Héctor Delgado;Massimiliano Todisco;Hong Yu

  • Nonintrusive Speech Intelligibility Prediction Using Convolutional Neural Networks

    Asger Heidemann Andersen;Jan Mark de Haan;Zheng-Hua Tan;Jesper Jensen

  • Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions

    Asger Heidemann Andersen;Jan Mark de Haan;Zheng-Hua Tan;Jesper Jensen

  • Monaural Speech Enhancement using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure

    Morten Kolbæk;Zheng-Hua Tan;Jesper Jensen

  • Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks

    Morten Kolbæk;Dong Yu;Zheng-Hua Tan;Jesper Jensen

Frequent Co-Authors

Jesper Jensen
Jesper Jensen Aalborg University
Søren Holdt Jensen
Søren Holdt Jensen University of Extremadura
Zhanyu Ma
Zhanyu Ma Beijing University of Posts and Telecommunications
Ramjee Prasad
Ramjee Prasad Aarhus University
Tomi Kinnunen
Tomi Kinnunen University of Eastern Finland
Jun Guo
Jun Guo Beijing University of Posts and Telecommunications
Jing-Hao Xue
Jing-Hao Xue University College London
Petar Popovski
Petar Popovski Aalborg University
Dong Yu
Dong Yu Tencent (China)

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