Publications

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Refereed Journal and Conference Papers

  1. Yiming Zhang, Ruoyi Du, Zheng-Hua Tan, Wenwu Wang, and Zhanyu Ma, “Generating Accurate and Diverse Audio Captions through Variational Autoencoder Framework,” IEEE Signal Processing Letters, 2024.
  2. Peter Asbjørn Leer Bysted, Jesper Jensen, Zheng-Hua Tan, Jan Østergaard, and Lars Bramsløw, “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, vol. 32, pp. 2006-2020, 2024.
  3. Mathias Bach Pedersen, Søren Holdt Jensen, Zheng-Hua Tan and Jesper Jensen, ”Data-Driven Non-Intrusive Speech Intelligibility Prediction using Speech Presence Probability,” accepted by IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 32, pp. 55-67, 2024.
  4. Yiming Zhang, Hong Yu, Ruoyi Du, Zheng-Hua Tan, Wenwu Wang, Zhanyu Ma, and Yuan Dong, “ACTUAL: Audio Captioning with Caption Feature Space Regularization,” accepted by IEEE/ACM Transactions on Audio, Speech and Language Processing, 2023.
  5. Andreas Jonas Fuglsig, Jesper Jensen, Zheng-Hua Tan, Lars Søndergaard Bertelsen, Jens Christian Lindof, and Jan Østergaard, “Minimum Processing Near-end Listening Enhancement,” accepted by IEEE/ACM Transactions on Audio, Speech and Language Processing, 2023.
  6. Achintya Kumar Sarkar and Zheng-Hua Tan, “On Training Targets and Activation Functions for Deep Representation Learning in Text-Dependent Speaker Verification,” Acoustics, vol. 5, no. 3, pp. 693-713, July 2023.
  7. Ivan Lopez Espejo, Amin Edraki, Wai Yip Geoffrey Chan, Zheng-Hua Tan, and Jesper Jensen, ” On the Deficiency of Intelligibility Metrics as Proxies for Subjective Intelligibility,” Accepted/In press In: Speech Communication, 2023. 
  8. Christian Heider and Zheng-Hua Tan, “Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise,” IEEE Open Journal of Signal Processing, vol. 4, pp. 179-187, 2023.
  9. Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, and Mihaly Petreczky, “Explicit Construction of the Minimum Error Variance Estimator for Stochastic LTI-ss Systems,” Feb 2023, (Accepted/In press) In: Automatica.
  10. Mathias Bach Pedersen, Asger Heidemann Andersen, Søren Holdt Jensen, Zheng-Hua Tan and Jesper Jensen, “Training Data-Driven Speech Intelligibility Predictors on Heterogeneous Listening Test Data,” IEEE Access, vol. 10, pp. 66175-66189, 2022. 
  11. Bjørn Uttrup Dideriksen, Kristoffer Calundan Derosche and Zheng-Hua Tan, “iVAE-GAN: Identifiable VAE-GAN Models for Latent Representation Learning,” IEEE Access, vol. 10, pp. 48405-48418, 2022. 
  12. Poul Hoang, Zheng-Hua Tan, Jan Mark de Haan and Jesper Jensen, “The Minimum Overlap-Gap Algorithm for Speech Enhancement,” IEEE Access, vol. 10, pp. 14698-14716, 2022. 
  13. Iván López-Espejo, Zheng-Hua Tan, John H. L. Hansen and Jesper Jensen, “Deep Spoken Keyword Spotting: An Overview,” IEEE Access, vol. 10, pp. 4169-4199, 2022. 
  14. Poul Hoang, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen, “Multichannel Speech Enhancement with Own Voice-Based Interfering Speech Suppression for Hearing Assistive Devices,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 30, pp. 706-720, January 2022.
  15. Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan and Jun Guo, “Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 9, pp. 4605-4625, Sept. 2022. Impact Factor: 24.314.
  16. Rønsch, G. Ø., Espejo, I. L., Michelsanti, D., Xie, Y., Popovski, P. & Tan, Z-H., “Utilization of acoustic signals with generative Gaussian and autoencoder modeling for condition-based maintenance of injection moulds,” 2022, (Accepted/In press) In: International Journal of Computer Integrated Manufacturing.
  17. Peyman Aghabeyki, Yang Cai, Guangsheng DengZheng-Hua Tan, and Shuai Zhang, “A Dual-Polarized Reconfigurable Reflectarray with A Thin Liquid Crystal Layer and 2D Beam Scanning,” accepted by IEEE Transactions on Antennas & Propagation. 
  18. Iván López-Espejo, Zheng-Hua Tan and Jesper Jensen, “A Novel Loss Function and Training Strategy for Noise-Robust Keyword Spotting,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 29, pp. 2254-2266, June 2021.
  19. Achintya kr. Sarkar, Zheng-Hua Tan, “Self-Segmentation of Pass-Phrase Utterances for Deep Feature Learning in Text-Dependent Speaker Verification,” Computer Speech & Language, vol. 70, pp. 1-15, November 2021.
  20. Daniel Michelsanti, Zheng-Hua Tan, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu, and Jesper Jensen. “An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 29, pp. 1368-1396, March 2021.
  21. Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho and Petar Popovski, “Assessing Wireless Sensing Potential with Large Intelligent Surfaces,” IEEE Open Journal of the Communications Society, vol. 2, pp. 934-947, April 2021. 
  22. Achintya kr. Sarkar, Zheng-Hua Tan, “Vocal Tract Length Perturbation for Text-Dependent Speaker Verification with Autoregressive Prediction Coding”, IEEE Signal Processing Letters, vol. 28, pp. 364-368, 2021. 
  23. Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao and Jun Guo, “Deep InterBoost Networks for Small-sample Image Classification,” Neurocomputing, vol. 456, pp. 492-503, 2021. 
  24. Zhanyu Ma, Xiaoou Lu, Jiyang Xie, Zhen Yang, Jing-Hao Xue, Zheng-Hua Tan, Bo Xiao, Jun Guo, “On the Comparisons of Decorrelation Approaches for non-Gaussian Neutral Vector Variables,” accepted by IEEE Transactions on Neural Networks and Learning Systems, 2020. 
  25. Juan M. Martín-Doñas, Jesper Jensen, Zheng-Hua Tan, Angel M. Gomez, and Antonio M. Peinado, “Online Multichannel Speech Enhancement Based on Recursive EM and DNN-based Speech Presence Estimation,” IEEE/ACM Transactions on Audio, Speech and Language Processing vol. 28, pp. 3080-3094, November 2020.
  26. Iván López-Espejo, Zheng-Hua Tan and Jesper Jensen, “Improved External Speaker-Robust Keyword Spotting for Hearing Assistive Devices,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 28, no. 1, pp. 1233-1247, December 2020.  
  27. Miklas S. Kristoffersen, Sven E. Shepstone, and Zheng-Hua Tan, “The Importance of Context When Recommending TV Content: Dataset and Algorithms,” IEEE Transactions on Multimedia, vol. 22, no. 6, pp. 1531-1541, June 2020.
  28. Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu and Jun Guo, “OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer,” IEEE Transactions on Image Processing, vol. 29, pp. 6482-6495, May 2020. 
  29. Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen and Jesper Jensen, “On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 28, pp. 825-838, January 2020. 
  30. Zheng-Hua Tan, Achintya kr. Sarkar and Najim Dehak, “rVAD: An Unsupervised Segment-Based Robust Voice Activity Detection Method,” Computer Speech and Language, vol. 59, pp. 1-21, January 2020. 
  31. Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson and Jesper Jensen, “Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect,” Speech Communication, vol. 115, pp. 38-50, December 2019. 
  32. Yonggang Qi and Zheng-Hua Tan, “SketchSegNet+: An End-to-end Learning of RNN for Multi-Class Sketch Semantic Segmentation,” IEEE Access, vol. 7, pp. 102717-102726, July 2019.
  33. Achintya kr. Sarkar, Zheng-Hua Tan, Hao Tang, Suwon Shon and James Glass, “Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 27, no. 8, pp.1267-1279, August 2019.
  34. Morten Kolbæk, Zheng-Hua Tan and Jesper Jensen, “On the Relationship between Short-Time Objective Intelligibility and Short-Time Spectral-Amplitude Mean-Square Error for Speech Enhancement,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 27, no. 2, pp. 283-295, February 2019.
  35. Hengwei Lin, Kai Sun, Zheng-Hua Tan, Chengxi Liu, Josep M. Guerrero and Juan C. Vasquez, “Adaptive Protection Combined with Machine Learning for Microgrids,” IET Generation, Transmission & Distribution, vol. 13, no. 6, pp. 770-779, March 2019. 
  36. Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen, “Non-Intrusive Speech Intelligibility Prediction using Convolutional Neural Networks,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 26, no. 10, pp. 1925-1939, October 2018.
  37. Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen, “Refinement and Validation of the Binaural Short Time Objective Intelligibility Measure for Spatially Diverse Conditions,” Speech Communication, vol. 102, pp. 1-13, September 2018. 
  38. Xiaodong Duan and Zheng-Hua Tan, “A Spatial Self-Similarity Based Feature Learning Method for Face Recognition under Varying Poses,” Pattern Recognition Letters, vol. 111, pp. 109-116, August 2018.
  39. Hong Yu, Zheng-Hua Tan, Zhanyu Ma, Rainer Martin, and Jun Guo, “Spoofing Detection in Automatic Speaker Verification Systems Using DNN Classifiers and Dynamic Acoustic Features,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 10, pp. 4633-4644, October 2018.
  40. Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan, and Jesper Jensen, “Bias-compensated Informed Sound Source Localization Using Relative Transfer Functions,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 26, no. 7, pp. 1275 – 1289, July 2018. 
  41. Chengshi Zheng, Zheng-Hua Tan, Renhua Peng, and Xiaodong Li, “Guided spectrogram filtering for speech dereverberation,” Applied Acoustics, vol. 134, pp. 154-159, May 2018. 
  42. Renhua Peng, Zheng-Hua Tan, Xiaodong Li, and Chengshi Zheng. “A Perceptually Motivated LP Residual Estimator in Noisy and Reverberant Environments,” Speech Communication, vol. 96, pp. 129-141, February 2018. (Elsevier).
  43. Md Sahidullah, Dennis Alexander Lehmann Thomsen, Rosa Gonzalez Hautamaki, Tomi Kinnunen, Zheng-Hua Tan, Robert Parts, Martti Pitkanen, “Robust Voice Liveness Detection and Speaker Verification Using Throat Microphones,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 26, no. 1, pp. 44 – 56, January 2018.
  44. Zheng-Hua Tan, Nicolai Bæk Thomsen, Xiaodong Duan, Evgenios Vlachos, Sven Ewan Shepstone, Morten H. Rasmussen and Jesper Lisby Højvang, “iSocioBot – A Multimodal Interactive Social Robot,” International Journal of Social Robotics, vol. 10, no. 1, pp. 5–19, January 2018. (Springer).
  45. Jen-Tzung Chien, Chao-Hsi Lee and Zheng-Hua Tan, “Latent Dirichlet Mixture Model,” Neurocomputing, vol. 278, pp. 12-22, February 2018. (Elsevier).
  46. Sven Ewan Shepstone, Zheng-Hua Tan and Miklas Strøm Kristoffersen, “Using Closed-set Speaker Identification Score Confidence to Enhance Audio-based Collaborative Filtering for Multiple Users,” IEEE Transactions on Consumer Electronics, vol. 64, no. 1, pp. 1-8, February 2018. 
  47. Sven Ewan Shepstone, Zheng-Hua Tan and Søren Holdt Jensen, “Audio-based Granularity-adapted Emotion Classification,” IEEE Transactions on Affective Computing, vol. 9, no. 2, pp. 176-190, April-June 2018.
  48. Morten Kolbæk, Dong Yu, Zheng-Hua Tan and Jesper Jensen, “Multi-talker Speech Separation with Utterance-level Permutation Invariant Training of Deep Recurrent Neural Networks”, IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 25, no. 10, October 2017, pp. 1901-1913. 2022 IEEE SPS Best Paper Award
  49. Achintya Sarkar and Zheng-Hua Tan, “Incorporating Pass-Phrase Dependent Background Models for Text-Dependent Speaker Verification,” Computer Speech & Language, vol. 47, pp. 259-271, January 2018. (Elsevier).
  50. Stefanos Astaras, Aristodemos Pnevmatikakis and Zheng-Hua Tan, “Visual Detection of Events of Interest from Urban Activity,” Wireless Personal Communications, vol. 97, no. 2, pp. 1877–1888, November 2017. (Springer).
  51. Zhanyu Ma, Jing-Hao Xue, Arne Leijon, Zheng-Hua Tan, Zhen Yang, and Jun Guo, “Decorrelation of Neutral Vector: Theory and Applications,” IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 1, pp. 129 – 143, January 2018.
  52. Swati Prasad, Zheng-Hua Tan and Ramjee Prasad, “Frame Selection for Robust Speaker Identification: A Hybrid Approach,” Wireless Personal Communications, vol. 97, no. 1, pp. 933–950, November 2017. (Springer).
  53. Hong Yu, Zheng-Hua Tan, Yiming Zhang, Zhanyu Ma, and Jun Guo, “DNN Filter Bank Cepstral Coefficients for Spoofing Detection,” IEEE Access, vol. 5, pp. 4779 – 4787, March 2017.
  54. Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan, and Jesper Jensen, “Informed Sound Source Localization using Relative Transfer Functions for Hearing Aid Applications,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 25, no. 3, pp. 611-623, March 2017.
  55. Morten Kolbæk, Zheng-Hua Tan and Jesper Jensen, “Speech Intelligibility Potential of General and Specialized Deep Neural Network based Speech Enhancement Systems,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 25, no. 1, January 2017, pp. 153-167.
  56. Zhanyu Ma, Hong Yu, Zheng-Hua Tan, and Jun Guo, “Text-Independent Speaker Identification Using the Histogram Transform Model”, IEEE ACCESS, vol. 4, pp. 9733 – 9739, January 2017.
  57. Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen, “Predicting the Intelligibility of Noisy and Non-Linearly Processed Binaural Speech,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 24, no. 11, November 2016. 
  58. Elizabeth Ann Jochum, Evgenios Vlachos, Sally Grindsted Nielsen, Anja Christoffersen, Ibrahim Hameed and Zheng-Hua Tan, “Using Theatre to Study Interaction with Care Robots,” International Journal of Social Robotics, vol. 8, no. 4, pp. 457-470, August 2016. (Springer).
  59. Swati Prasad, Zheng-Hua Tan and Ramjee Prasad, “Multiple Frame Rates for Feature Extraction and Reliable Frame Selection at the Decision for Speaker Identification Under Voice Disguise,” Journal of Communication, Navigation, Sensing and Services, vol. 1, no. 1, pp. 29–44, January 2016.
  60. Sven Shepstone, Kong Aik Lee, Haizhou Li, Zheng-Hua Tan and Søren Holdt Jensen, “Total Variability Modeling using Source-specific Priors,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 24, no. 3, pp. 504-517, March 2016.
  61. Zhanyu Ma, Zheng-Hua Tan, and Jun Guo, “Feature Selection for Neutral Vector in EEG Signal Classification”, Neurocomputing, vol. 174, pp. 937-945, January 2016. (Elsevier).
  62. Ioannis T. Christou, Emmanouil Amolochitis and Zheng-Hua Tan “AMORE: Design & Implementation of a Commercial-Strength Parallel Hybrid Movie Recommendation Engine”, Knowledge and Information Systems, vol. 47, no. 3, pp. 671-696, June 2016. (Springer).
  63. Nikolaos Katsarakis, Aristodemos Pnevmatikakis, Zheng-Hua Tan and Ramjee Prasad, “Improved Gaussian Mixture Models for Adaptive Foreground Segmentation,” Wireless Personal Communications, vol. 87, no. 3, pp. 629-643, April 2016. (Springer).
  64. Yonggang Qi, Jun Guo, Yi-Zhe Song, Tao Xiang, Honggang Zhang and Zheng-Hua Tan, “Im2Sketch: Sketch Generation by Unconflicted Perceptual Grouping,” Neurocomputing, vol. 165, pp 338-349, 2015. (Elsevier).
  65. Konstantinos Kouzelis, Zheng-Hua Tan, Birgitte Bak-Jensen and Jayakrishnan R. Pillai, “Estimation and Prediction of Residential Heat Pump Consumption for Intra-day Market Flexibility Bids,” IEEE Transactions on Smart Grid, vol. 6, no. 4, pp. 1852-1864, July 2015. 
  66. Jesper Jensen and Zheng-Hua Tan, “Minimum Mean-Square Error Estimation of Mel-Frequency Cepstral Features,” IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 23, no. 1, pp. 186-197, Jan. 2015.
  67. Zheng-Hua Tan and Ivan Kraljevski, “Joint variable frame rate and length analysis for speech recognition under adverse conditions,” Computers & Electrical Engineering, vol. 40, no. 7, pp. 2139–2149, Oct. 2014, (Elsevier). 
  68. Sven Ewan Shepstone, Zheng-Hua Tan and Søren Holdt Jensen, “Using Audio-derived Affective Offset to Enhance TV Recommendation,” IEEE Transactions on Multimedia, vol. 16, no. 7, pp. 1999-2010, Nov. 2014.
  69. Emanouil Amolochitis, Ioannis T. Christou and Zheng-Hua Tan, “Implementing a Commercial-Strength Parallel Hybrid Movie Recommendation Engine,” IEEE Intelligent Systems (AI Innovation and Industry track), vol. 29, no. 2, pp. 92-96, Mar.-Apr. 2014.
  70. Nikolaos Katsarakis, Aristodemos Pnevmatikakis, Zheng-Hua Tan and Ramjee Prasad, “Combination of multiple measurement cues for visual face tracking,” Wireless Personal Communications, vol. 78, no.3, pp. 1789-1810, July 2014. (Springer).
  71. Zhanyu Ma, Arne Leijon, Zheng-Hua Tan and Sheng Gao, “Predictive Distribution of the Dirichlet Mixture Model by the Local Variational Inference Method,” The Journal of Signal Processing Systems, 74:359–374, 2014. (Springer).
  72. Sven Ewan Shepstone, Zheng-Hua Tan and Søren Holdt Jensen, “Audio-based Age and Gender Identification to Enhance the Recommendation of TV Content,” IEEE Transactions on Consumer Electronics, vol. 59, no. 3, pp. 721-729, Aug. 2013.
  73. Emanouil Amolochitis, Ioannis T. Christou, Zheng-Hua Tan and Ramjee Prasad, “A Heuristic Hierarchical Scheme for Academic Search and Retrieval,” Information Processing and Management, vol. 49, no. 6, pp. 1326–1343, Nov. 2013. (Elsevier).
  74. Theodoros Petsatodis, Fotios Talantzis, Christos Boukis, Zheng-Hua Tan and Ramjee Prasad, “Exploring super-gaussianity towards robust information-theoretical time delay estimation,” The Journal of the Acoustical Society of America (JASA), vol. 133, no. 3, pp. 1515-1524, 2013.
  75. Pejman Mowlaee, Rahim Saeidi, Mads Græsbøll Christensen, Zheng-Hua Tan, Tomi Kinnunen, Pasi Franti, and Søren Holdt Jensen, “A Joint Approach for Single-Channel Speaker Identification and Speech Separation,” IEEE Transactions on Audio, Speech and Language Processing, vol.20, no.9, pp.2586-2601, Nov. 2012.
  76. Hongbing Cheng, Chunming Rong, Zhenghua Tan and Qingkai Zeng, “Identity based Encryption and Biometric Authentication Scheme for Secure Data Access in Cloud Computing,” Chinese Journal of Electronics, vol. 21, no. 2, pp. 254-259, Apr. 2012.
  77. Theodoros Petsatodis, Christos Boukis, Fotios Talantzis, Zheng-Hua Tan and Ramjee Prasad, “Convex Combination of Multiple Statistical models with application to VAD,” IEEE Transactions on Audio, Speech and Language Processing, vol. 19, no. 8, pp. 2314 – 2327, Nov. 2011.
  78. Hristijan Petreski, Sofia Tsekeridou, Eri Giannaka, Neeli Prasad, Ramjee Prasad and Zheng-Hua Tan, “Technology-enabled social learning: a review,” International Journal of Knowledge and Learning, vol. 7, nos. 3/4, pp. 253-270, 2011. 
  79. Zheng-Hua Tan and Børge Lindberg, “Low-Complexity Variable Frame Rate Analysis for Speech Recognition and Voice Activity Detection,” IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 5, pp. 798 – 807, Oct. 2010. 
  80. Haitian Xu, Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “Robust Speech Recognition by Non-Local Means De-Noising Processing,” IEEE Signal Processing Letters, vol. 15, pp. 701-704, Dec. 2008.
  81. Haitian Xu, Paul Dalsgaard, Zheng-Hua Tan and Børge Lindberg, “Noise Condition-Dependent Training Based on Noise Classification and SNR Estimation,” IEEE Transactions on Audio, Speech and Language Processing, vol. 15, no. 8, pp. 2431 – 2443, Nov. 2007. 
  82. Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “Exploiting Temporal Correlation of Speech for Error-Robust and Bandwidth-Flexible Distributed Speech Recognition,” IEEE Transactions on Audio, Speech and Language Processing, vol. 15, no. 4, pp. 1391-1403, May 2007.
  83. Zheng-Hua Tan, “Fuzzy Metagraphs and Its Combination with Indexing Approach in Rule-Based Systems,” IEEE Transactions on Knowledge and Data Engineering, vol. 18, no. 6, pp. 829-841, Jun. 2006.
  84. Haitian Xu, Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “Exploitation of spectral variance to improve robustness in speech recognition,” IEE Electronics Letters, vol. 42, no. 5, pp. 312-314, Mar. 2006.
  85. Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “Automatic Speech Recognition over Error-Prone Wireless Networks,” Speech Communication, vol. 47, no. 1-2, pp. 220-242, September-October, 2005. (Elsevier). (ScienceDirect TOP25 Hottest Articles in Speech Communication at place 15, accessed during Oct.-Dec. 2005.)
  86. Zheng-Hua Tan, “Hybrid Evolutionary Approach for Designing Neural Networks for Classification,” IEE Electronics Letters, vol. 40, no. 15, pp. 955-957, Jul. 2004.
  87. Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “Partial Splicing Packet Loss Concealment for Distributed Speech Recognition,” IEE Electronics Letters, vol. 39, no. 22, pp. 1619-1620, Oct. 2003.
  88. Sarthak Yadav and Zheng-Hua Tan, “Audio Mamba: Selective State Spaces for Self-Supervised Audio Representations,” Interspeech 2024, September 1-5, 2024, Kos Island, Greece.
  89. Yuying Xie, Michael Kuhlmann, Frederik Rautenberg, Zheng-Hua Tan, and Reinhold Haeb-Umbach, “Speaker and Style Disentanglement of Speech Based on Contrastive Predictive Coding Supported Factorized Variational Autoencoder,” The 32nd European Signal Processing Conference (EUSIPCO 2024), August 26 – 30, Lyon, France.
  90. Asjid Tanveer, Jesper Jensen, Zheng-Hua Tan, and Jan Østergaard, “Envelope Based Deep Source Separation and EEG Auditory Attention Decoding for Speech and Music,” The 32nd European Signal Processing Conference (EUSIPCO 2024), August 26 – 30, Lyon, France.
  91. Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, and Mihaly Petreczky, “PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models,” The 41st International Conference on Machine Learning (ICML 224), Vienna, Austria, 21-27 July 2024. 27.5% acceptance rate.
  92. Sarthak Yadav, Sergios Theodoridis, Lars Kai Hansen, and Zheng-Hua Tan, “Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners,” The Twelfth International Conference on Learning Representations (ICLR), Vienna, Austria, 7-11 May 2024. 31% acceptance rate.
  93. Holger Severin Bovbjerg, Jesper Jensen, Jan Østergaard, and Zheng-Hua Tan, “Self-supervised Pretraining for Robust Personalized Voice Activity Detection in Adverse Conditions,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, 14-19 April 2024.
  94. Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard, Jesper Jensen, Tommy Sonne Alstrøm, and Tobias May, “Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Sampler,” IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Seoul, Korea, 14-19 April 2024.
  95. Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, and Mihaly Petreczky, “PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs,” The 38th Annual AAAI Conference on Artificial Intelligence (AAAI 2024), February 20-27, 2024, Vancouver, Canada. 23.75% acceptance rate.
  96. Yuying Xie, Thomas Arildsen, and Zheng-Hua Tan, “Improved Disentangled Speech Representations Using Contrastive Learning in Factorized Hierarchical Variational Autoencoder,” The 31st European Signal Processing Conference (EUSIPCO 2023), September 4-8, 2023, Helsinki, Finland.
  97. Juan F. Montesinos, Daniel Michelsanti, Gloria Haro, Zheng-Hua Tan, and Jesper Jensen, “Speech Inpainting: Context-Based Speech Synthesis Guided by Video,” Interspeech 2023, August 20-24, 2023, Dublin, Ireland.
  98. Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, and Mihaly Petreczky, “AC-Bayesian Error Bound, via R’enyi Divergence, for a Class of Linear Time-Invariant State-Space Models,” ICML 2023 Workshop PAC-Bayes Meets Interactive Learning, Honolulu, Hawaii, July 28, 2023.
  99. Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, and Mihaly Petreczky, “PAC-Bayesian Bounds for Learning LTI-ss systems with Input from Empirical Loss,” ICML 2023 Workshop New Frontiers in Learning, Control, and Dynamical Systems (Frontiers4LCD), Honolulu, Hawaii, July 28, 2023.
  100. Peyman Aghabeyki, Zheng-Hua Tan, and Shuai Zhang, “A Wideband Reflectarray with Simultaneous Reconfigurable Polarization and Beam-steering by using Liquid Crystal Delay Line for Millimeter Wave,” EuMW 2023, September 17-22, 2023, Berlin, Germany.
  101. Ivan Lopez-Espejo, Ram C. M. C. Shekar, Zheng-Hua Tan, Jesper Jensen, and John H. L. Hansen, “Filterbank Learning for Small-Footprint Keyword Spotting Robust to Noise,” The 48th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 4-10, 2023.
  102. Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, and Elisabeth de Carvalho, “Radio Sensing with Large Intelligent Surface for 6G,” The 48th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes Island, Greece, June 4-10, 2023.
  103. Holger Severin Bovbjerg, ”Improving Label-deficient Keyword Spotting Through Self-supervised Pretraining,” ICASSP 2023 Satellite Workshop: SASB 2023: Self-Supervision in Audio, Speech and Beyond), Rhodes Island, Greece, June 10, 2023.
  104. Daniel Michelsanti, Zheng-Hua Tan, Sergi Rotger Griful and Jesper Jensen, ”A Vision-Assisted Hearing Aid System Based on Deep Learning,” IEEE ICASSP 2023 Satellite Workshop: Advances in Multi-modal Hearing Assistive Technologies (AMHAT), Rhodes Island, Greece, June 10, 2023.
  105. Peyman Aghabeyki, Zheng-Hua Tan, and Shuai Zhang, “A Wideband Reconfigurable Reflectarray Based on Aperture Coupled Delay Line,” EuCAP 2023, Florence, Italy, 26-31 of March 2023.
  106. Iván López-Espejo, Zheng-Hua Tan, John H. L. Hansen and Jesper Jensen, “An Experimental Study on Light Speech Features for Small-Footprint Keyword Spotting,” IberSPEECH 2022.
  107. Cristian Vaca Rubio, Roberto Pereira, Xavier Mestre, David Gregoratti, Zheng-Hua Tan, Elisabeth De Carvalho, and Petar Popovski, “Floor Map Reconstruction Through Radio Sensing and Learning by a Large Intelligent Surface,” IEEE International Workshop on Machine Learning for Signal Processing August 22-25, 2022, Xi’an China. 
  108. Claus Meyer Larsen, Peter Koch and Zheng-Hua Tan, “Adversarial Multi-Task Deep Learning for Noise-Robust Voice Activity Detection with Low Algorithmic Delay”, Interspeech 2022, September 18-22, Incheon, Korea. 
  109. Cristian J. Vaca-Rubio, Dariush Salami, Petar Popovski, Elisabeth de Carvalho, Zheng-Hua Tan, Stephan Sigg, “User Localization using RF Sensing: A Performance comparison between LIS and mmWave Radars,” The 30th European Signal Processing Conference (EUSIPCO 2022), August 29-September 2, Belgrade, Serbia.
  110. Peter Asbjørn Leer Bysted, Jesper Jensen, Zheng-Hua Tan, Jan Østergaard, and Lars Bramsløw, “A parameter-conditional neural network framework for modelling parameterized auditory models,” EUROREGIO-BNAM2022 Joint Acoustics Conferences, May 9-11, 2022, Aalborg, Denmark.
  111. Chien-Cheng Wu, Zheng-Hua Tan and Cedomir Stefanovic, “AoI and Throughput Optimization for Hybrid Traffic in Cellular Uplink Using Reinforcement Learning,” 2022 VTC Workshop on Data Driven Optimization for 6G Wireless Networks, June 19-22, 2022, Helsinki, Finland.
  112. Fan Yu, Shiliang Zhang, Pengcheng Guo, Yihui Fu, Zhihao Du, Siqi Zheng, Weilong Huang, Lei Xie, Zheng-Hua Tan, DeLiang Wang, Zhijie Yan, Bin Ma, Xin Xu, Hui Bu, “The Summary on the ICASSP 2022 Multi-channel Multi-party Meeting Transcription Grand Challenge,” the 47th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), Singapore, May 22-27, 2022.
  113. Andreas Jonas Fuglsig, Jan Østergaard, Jesper Jensen, Lars Søndergaard Bertelsen, Peter Mariager, and Zheng-Hua Tan, “Joint Far- and Near-End Speech Intelligibility Enhancement based on the Approximated Speech Intelligibility Index,” the 47th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), Singapore, May 22-27, 2022.
  114. Wei Rao, Yihui Fu, Yanxin Hu, Xin Xu, Yvkai Jv, Jiangyu Han, Zhongjie Jiang, Lei Xie, Yannan Wang, Shinji Watanabe, Zheng-Hua Tan, Hui Bu, Tao Yu, Shidong Shang, “ConferencingSpeech Challenge: Towards Far-field Multi-Channel Speech Enhancement for Video Conferencing”, IEEE Automatic Speech Recognition and Understanding Workshop, Cartagena, Spain, December 13-17, 2021. 
  115. Yuying Xie, Thomas Arildsen and Zheng-Hua Tan, “Disentangled Speech Representation Learning Based on Factorized Hierarchical Variational Autoencoder with Self-Supervised Objective,” IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP2021), Gold Coast, Australia, October 25–28, 2021.
  116. Morten Østergaard Nielsen, Jan Østergaard, Jesper Jensen and Zheng-Hua Tan, “Compression of DNNs Using Magnitude Pruning and Nonlinear Information Bottleneck Training,” IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP2021), Gold Coast, Australia, October 25–28, 2021.
  117. Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani and Mihaly Petreczky, “PAC-Bayesian theory for stochastic LTI systems,” 2021 IEEE Conference on Decision and Control (CDC), Austin, Texas, USA, December 13-15, 2021.
  118. Chien-Cheng Wu, Petar Popovski, Zheng-Hua Tan, and Cedomir Stefanovic, “Design of AoI-Aware 5G Uplink Scheduler Using Reinforcement Learning,” 2021 IEEE 4th 5G World Forum (5GWF), Virtual + Montreal, Canada, October 13-15, 2021.
  119. Anders E. Kalør, Daniel Michelsanti, Federico Chiariotti, Zheng-Hua Tan and Petar Popovski, “Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices,” the 2021 IEEE 22nd International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Lucca, Italy, September 27-30, 2021.
  120. Giovanni Morrone, Daniel Michelsanti, Zheng-Hua Tan, and Jesper Jensen, “Audio-Visual Speech Inpainting with Deep Learning,” the 46th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, ON, Canada, June 6-12, 2021.
  121. Poul Hoang, Zheng-Hua Tan, Jan Mark de Han and Jesper Jensen, “Joint Maximum Likelihood Estimation of Power Spectral Densities and Relative Acoustic Transfer Functions for Acoustic Beamforming,” the 46th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), Toronto, ON, Canada, June 6-12, 2021.
  122. Md Sahidullah, Achintya Kumar Sarkar, Ville Vestman, Xuechen Liu, Romain Serizel, Tomi Kinnunen, Zheng-Hua Tan, Emmanuel Vincent, “UIAI System for Short-Duration Speaker Verification Challenge 2020,” The 8th IEEE Spoken Language Technology Workshop (SLT 2021), January 19-22, 2021, Shenzhen, China.
  123. Zeyu Song, Dongliang Chang, Zhanyu Ma, Xiaoxu Li and Zheng-Hua Tan, “CC-loss: Channel Correlation Loss for Image Classificaiton,” The 25th International Conference on Pattern Recognition (ICPR 2020), Milan, Italy, January 10-15, 2021. 
  124. Iván López-Espejo, Zheng-Hua Tan and Jesper Jensen, “Exploring Filterbank Learning for Keyword Spotting,” The 28th European Signal Processing Conference (EUSIPCO 2020), Amsterdam, The Netherlands, January 18-22, 2021.
  125. Daniel Michelsanti, Olga Slizovskaia, Gloria Haro, Emilia Gómez, Zheng-Hua Tan and Jesper Jensen, “Vocoder-Based Speech Synthesis from Silent Videos,” Interspeech 2020, Shanghai, China, October 25-29, 2020.
  126. Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Robin Jess Williams, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho and Petar Popovski, “A Primer on Large Intelligent Surface (LIS) for Wireless Sensing in an Industrial Setting,” EAI CROWNCOM 2020 – 15th EAI International Conference on Cognitive Radio Oriented Wireless Networks, November 25-26, 2020.
  127. Saeid Samizade, Zheng-Hua Tan, Chao Shen, Xiaohong Guan, “Adversarial Example Detection by Classification for Deep Speech Recognition,” The 45th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), Barcelona, May 4-8, 2020. 
  128. Poul Hoang, Zheng-Hua Tan, Thomas Lunner, Jan Mark de Haan, Jesper Jensen, “Maximum Likelihood Estimation of the Interference-Plus-Noise Cross Power Spectral Density Matrix for Own Voice Retrieval,” The 45th International Conference on Acoustics, Speech and Signal Processing (ICASSP 2020), Barcelona, May 4-8, 2020.
  129. Poul Hoang, Zheng-Hua Tan, Jan Mark de Haan, Thomas Lunner and Jesper Jensen, “Robust Bayesian and Maximum a Posteriori Beamforming for Hearing Assistive Devices,” The 7th IEEE Global Conference on Signal and Information Processing (GlobalSIP 2019), Nov. 11-14, 2019, Shaw Centre, Ottawa, Canada.   
  130. Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan and Jun Guo, “Soft Dropout and Its Variational Bayes Approximation,” The 29th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2019), Oct. 13–16, 2019, Pittsburgh, PA, USA. 
  131. Iván López-Espejo, Zheng-Hua Tan and Jesper Jensen, “Keyword Spotting for Hearing Assistive Devices Robust to External Speakers,” Interspeech 2019, September 15-19, 2019, Graz, Austria. 
  132. Miklas S. Kristoffersen, Jacob L. Wieland, Sven E. Shepstone, Zheng-Hua Tan and Vinoba Vinayagamoorthy, “Deep Joint Embeddings of Context and Content for Recommendation,” CARS 2.0 – Workshop on Context-Aware Recommender Systems, in conjunction with RecSys’ 2019, 20 September 2019, Copenhagen, Denmark. 
  133. Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson and Jesper Jensen, “Effects of Lombard Reflex on the Performance of Deep-Learning-Based Audio-Visual Speech Enhancement Systems,” The 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, May 12-17, 2019.
  134. Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson and Jesper Jensen, “On Training Targets and Objective Functions for Deep-Learning-Based Audio-Visual Speech Enhancement,” The 44th IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton, UK, May 12-17, 2019.
  135. Andrea Coifman, Peter Rohoska, Miklas S. Kristoffersen, Sven E. Shepstone, and Zheng-Hua Tan, “Subjective Annotations for Vision-Based Attention Level Estimation,” The 14th International Conference on Computer Vision Theory and Applications (VISAPP 2019), Prague, Czech Republic, 25-27 February 2019.
  136. Hengwei Lin, Sun Kai, Zheng-Hua Tan and Josep M. Guerrero, “Active Reconfigurable Operation with Long Short-Term Memory Prediction for Smart City Microgrids,” 2019 4th IEEE Workshop on the Electronic Grid (eGRID), pp. 1-7, Xiamen, China, 2019.
  137. Evgenios Vlachos and Zheng-Hua Tan, “Public Perception of Android Robots: Indications from an Analysis of YouTube Comments,” the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, 1-5 October 2018.
  138. Hong Yu, Tianrui Hu, Zhanyu Ma, Zheng-Hua Tan and Jun Guo, “Multi-Task Adversarial Network Bottleneck Features for Noise-Robust Speaker Verification,” the IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC 2018), Guiyang, China, August 22 – 24, 2018.
  139. Peter Sibbern Frederiksen, Jesus Villalba, Shinji Watanabe, Zheng-Hua Tan and Najim Dehak, “Effectiveness of Single-Channel BLSTM Enhancement for Language Identification,” Interspeech 2018, Hyderabad, India, September 2-6, 2018.
  140. Gabriele Trovato, Renato Paredes, Javier Balvin, Francisco Cuellar, Nicolai Bæk Thomsen, Søren Bech, and Zheng-Hua Tan, “The Sound or Silence: investigating the influence of robot noise on proxemics,” the 27th IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2018, Nanjing and Tai’an, China, 27-31 August 2018. 
  141. Morten Kolbæk, Zheng-Hua Tan and Jesper Jensen, “Monaural Speech Enhancement Using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure,” The 43th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), 15-20 April 2018, Calgary, Alberta, Canada. 
  142. Achintya Kr. Sarkar and Zheng-Hua Tan, “Time-Contrastive Learning Based DNN Bottleneck Features for Text-Dependent Speaker Verification,” NIPS 2017 Time Series Workshop, Dec. 8, 2017, Long Beach, CA, USA. 
  143. Xiaodong Duan, Nicolai B. Thomsen, Zheng-Hua Tan, Børge Lindberg and Søren H. Jensen, “Weighted Score Based Fast Converging CO-training with Application to Audio-Visual Person Identification,” The 29th IEEE International Conference on Tools with Artificial Intelligence (ICTAI2017), Nov. 6-8, 2017, Boston, Massachusetts, USA.
  144. Morten Kolbæk, Dong Yu, Zheng-Hua Tan and Jensen, Jesper, “Joint Separation and Denoising of Noisy Multi-Talker Speech Using Recurrent Neural Networks and Permutation Invariant Training,” the IEEE 27th International Workshop on Machine Learning for Signal Processing (MLSP), Tokyo, Japan, 25-28 September 2017. Best Student Paper Award.
  145. Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen, “On the use of Band Importance Weighting in the Short-Time Objective Intelligibility Measure,” Interspeech 2017, Stockholm, Sweden, 20-24 August 2017. 
  146. Hong Yu, Zheng-Hua Tan, Zhanyu Ma and Jun Guo, “Adversarial Network Bottleneck Features for Noise Robust Speaker Verification,” Interspeech 2017, Stockholm, Sweden, 20-24 August 2017. 
  147. Daniel Michelsanti and Zheng-Hua Tan, “Conditional Generative Adversarial Networks for Speech Enhancement and Noise-Robust Speaker Verification,” Interspeech 2017, Stockholm, Sweden, 20-24 August 2017. 
  148. Achintya Sarkar, Md Sahidullah, Zheng-Hua Tan and Tomi Kinnunen, “Improving Speaker Verification Performance in Presence of Spoofing Attacks Using Out-of-Domain Spoofed Data,” Interspeech 2017, Stockholm, Sweden, 20-24 August 2017. 
  149. Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen, Anthony Larcher, Chunlei Zhang, Andreas Nautsch, Themos Stafylakis, Gang Liu, Mickael Rouvier, Wei Rao, Federico Alegre, Jianbo Ma, Manwai Mak, Achintya Kumar Sarkar, Héctor Delgado, Rahim Saeidi, Hagai Aronowitz, Aleksandr Sizov, hanwu sun, Guangsen Wang, Trung Hieu Nguyen, Bin Ma, Ville Vestman, Md Sahidullah, Miikka Halonen, Anssi Kanervisto, Gael Le Lan, Fahimeh Bahmaninezhad, Sergey Isadskiy, Christian Rathgeb, Christoph Busch, Georgios Tzimiropoulos, Qi Qian, Zhibin Wang, Qingen Zhao, Tianzhou Wang, Hao Li, Jian Xue, Shenghuo Zhu, Rong Jin, Tuo Zhao, Pierre-Michel Bousquet, Moez Ajili, waad ben kheder, Driss Matrouf, Zhi Hao Lim, Chenglin Xu, Haihua Xu, Xiong Xiao, Eng Siong Chng, Benoit Fauve, Vidhyasaharan Sethu, Kaavya Sriskandaraja, W. W. Lin, Zheng-Hua Tan, Dennis Alexander Lehmann Thomsen, Massimiliano Todisco, Nicholas Evans, Haizhou Li, John H.L. Hansen, Jean-Francois Bonastre and Eliathamby Ambikairajah, “The I4U Mega Fusion and Collaboration for NIST Speaker Recognition Evaluation 2016,” Interspeech 2017, Stockholm, Sweden, 20-24 August 2017. 
  150. K. A. Lee, et al., “The I4U Submission to the 2016 NIST Speaker Recognition Evaluation.” NIST SRE 2016 Workshop, San Diego, California, USA, 2016.
  151. Dong Yu, Morten Kolbæk, Zheng-Hua Tan, and Jesper Jensen, “Permutation Invariant Training of Deep Models for Speaker-independent Multi-talker Speech Separation,” The 42th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), New Orleans, USA, 5-9 March 2017.
  152. Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, and Jesper Jensen, ‘A Non-intrusive Short-time Objective Intelligibility Measure,” The 42th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), New Orleans, USA, 5-9 March 2017.
  153. Tomi Kinnunen, Md Sahidullah, Mauro Falcone, Luca Costantini, Rosa Gonzalez Hautamäki, Dennis Thomsen, Achintya Sarkar, Zheng-Hua Tan, Hector Delgado, Massimiliano Todisco, Nicholas Evans, Ville Hautamäki, and Kong Aik Lee, “RedDots Replayed: A New Replay Spoofing Attack Corpus for Text-dependent Speaker Verification Research,” The 42th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017), New Orleans, USA, 5-9 March 2017.
  154. Morten Kolbæk, Zheng-Hua Tan and Jesper Jensen, “Speech Enhancement Using Long Short-Term Memory Based Recurrent Neural Networks for Noise Robust Speaker Verification,” 2016 IEEE Workshop on Spoken Lanuage Technology (SLT 2016), San Diego, California, USA, December 13-16, 2016.
  155. Héctor Delgado, Massimiliano Todisco, Md Sahidullah, Achintya K Sarkar, Nicholas Evans, Tomi Kinnunen and Zheng-Hua Tan, “Further Optimisations of Constant Q Cepstral Processing for Integrated Utterance and Text-Dependent Speaker Verification,” 2016 IEEE Workshop on Spoken Lanuage Technology (SLT 2016), San Diego, California, USA, December 13-16, 2016.
  156. Jen-Tzung Chien, Chao-Hsi Lee and Zheng-Hua Tan, “Dirichlet Mixture Allocation”, the 26th IEEE International Workshop on Machine Learning for Signal Processing (MLSP), Salerno-Italy, 13-16 September 2016.
  157. Nicolai Thomsen, Dennis Alexander Lehmann Thomsen, Zheng-Hua Tan, Børge Lindberg and Søren Holdt Jensen, “Speaker-dependent Dictionary-based Speech Enhancement for Text-Dependent Speaker Verification,” Interspeech 2016, San Francisco, USA, 8 – 12 September 2016.
  158. Achintya Kumar Sarkar and Zheng-Hua Tan, “Text Dependent Speaker Verification Using Unsupervised HMM-UBM and Temporal GMM-UBM,” Interspeech 2016, San Francisco, USA, 8 – 12 September 2016.
  159. Tomi Kinnunen, Md Sahidullah, Ivan Kukanov, Héctor Delgado, Massimiliano Todisco, Achintya sarkar, Nicolai Thomsen, Ville Hautamaki, Nicholas Evans and Zheng-Hua Tan, “Utterance Verification for Text-Dependent Speaker Recognition: a Comparative Assessment Using the RedDots Corpus,” Interspeech 2016, San Francisco, USA, 8 – 12 September 2016.
  160. Md Sahidullah, Rosa González Hautamäki, Dennis Alexander Lehmann Thomsen, Tomi Kinnunen, Zheng-Hua Tan, Ville Hautamaki, Robert Parts and Martti Pitkanen, “Robust Speaker Recognition with Combined Use of Acoustic and Throat Microphone Speech,”Interspeech 2016, San Francisco, USA, 8 – 12 September 2016.
  161. Md Sahidullah, Héctor Delgado, Massimiliano Todisco, Hong Yu, Tomi Kinnunen, Nicholas Evans and Zheng-Hua Tan,”Integrated Spoofing Countermeasures and Automatic Speaker Verification: an Evaluation on ASVspoof 2015,”Interspeech 2016, San Francisco, USA, 8 – 12 September 2016.
  162. Tomi Kinnunen, Alexey Sholokhov, Elie Khoury, Dennis Thomsen, Md Sahidullah and Zheng-Hua Tan, “HAPPY Team Entry to NIST OpenSAD Challenge: A Fusion of Short-Term Unsupervised and Segment i-Vector Based Speech Activity Detectors,” Interspeech 2016, San Francisco, USA, 8 – 12 September 2016.
  163. Hengwei Lin, Josep M. Guerrero, Juan C. Vásquez, Zheng-hua Tan, Chengxi Liu, and Chenxi Jia, “Adaptive Overcurrent Protection for Microgrids in Extensive Distribution Systems,” the 42nd IEEE Industrial Electronics Conference (IEEE IECON2016), Florence, Italy, October 24-27, 2016.
  164. Nicolai B. Thomsen, Xiaodong Duan, Zheng-Hua Tan, Børge Lindberg, and Søren Holdt Jensen, “Improving the Convergence of CO-training for Audio-Visual Person Identification,” The International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE2016), July 6-8, 2016, Aalborg, Denmark.
  165. Mohamed Abou-Zleikha, Mads Græsbøll Christensen, Zheng-Hua Tan, and Søren Holdt Jensen, “Projecting Emotional Speech into Arousal-valence Space Using Pairwise Preference Learning,” The International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE2016), July 6-8, 2016, Aalborg, Denmark.
  166. Hong Yu, Achintya Sarkar, Dennis Alexander Lehmann Thomsen, Zheng-Hua Tan, Zhan-Yu Ma, and Jun Guo, “Investigating the Effect of Multi-conditional Training and Speech Enhancement Methods on Spoofing Detection,” The International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE2016), July 6-8, 2016, Aalborg, Denmark.
  167. Stefanos Astaras, Aristodemos Pnevmatikakis and Zheng-Hua Tan, “Background Subtraction for Patterns of Activities in Cities,” The International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE2016), July 6-8, 2016, Aalborg, Denmark.
  168. Mojtaba Farmani, Richard Heusdens, Michael Syskind Pedersen, Zheng-Hua Tan and Jesper Jensen, “Concurrent Localization of Sound Sources and Dual-Microphone Sub-Arrays Using TOFs,” The 19th International Conference on Information Fusion (FUSION 2016), Heidelberg, July 5-8, 20016.
  169. Zongji Sun, Li Meng, Aladdin Ariyaeeinia, Xiaodong Duan, and Zheng-Hua Tan, “Privacy Protection Performance of De-identified Face Images with and without Background,” The 39th International ICT Convention MIPRO 2016, May 30 – June 03, 2016, Opatija, Croatia.
  170. Ibrahim A. Hameed, Zheng-Hua Tan, Nicolai B. Thomsen and Xiaodong Duan, “User Acceptance of Social Robots,” The 9th International Conference on Advances in Computer-Human Interactions (ACHI 2016), Venice, Italy, April 24-28, 2016. Best Paper Award.
  171. Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen, “A Method for Predicting the Intelligibility of Nisy and Non-linearly Enhanced Binaural Speech,” The 41th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, 20-25 March 2016.
  172. Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan and Jesper Jensen, “Informed Direction of Arrival Estimation Using a Spherical-head Model for Hearing Aid Applications,” The 41th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016), Shanghai, China, 20-25 March 2016. 
  173. Xiaodong Duan and Zheng-Hua Tan, “Neighbors Based Discriminative Feature Difference Learning for Kinship Verification,” The 11th International Symposium on Visual Computing, December 14-16, 2015
Las Vegas, Nevada, USA.
  174. Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan and Jesper Jensen, “Informed TDoA-based Direction of Arrival Estimation for Hearing Aid Applications,” The 3rd IEEE Global Conference on Signal and Information Processing (GlobalSIP 2015), Orlando, Florida, USA, December 14-16, 2015.
  175. Sally Grindsted Nielsen, Anja Christoffersen, Elizabeth Jochum and Zheng-Hua Tan, “Robot Future: Using Theatre to Influence Acceptance of Care Robots,” The New Friend 2015 Conference, Almere, The Netherlands, October 22-23, 2015. Best Paper Award Runner-up.
  176. Nicolai Thomsen, Zheng-Hua Tan, Børge Lindberg and Søren Holdt Jensen, “A Heuristic Approach for a Social Robot to Navigate to a Person Based on Audio and Range Information,” 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (iROS), Hamburg, Germany, September 28 – October 02, 2015.
  177. Ivan Kraljevski, Zheng-Hua Tan and Maria Paola Bissiri, “Comparison of Forced-Alignment Speech Recognition and Humans for Generating Reference VAD,” Interspeech 2015, Dresden, Germany, September 6-10, 2015. 
  178. Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan and Jesper Jensen, “A Binaural Short Time Objective IntelligibilityMeasure for Noisy and Enhanced Speech,” Interspeech 2015, Dresden, Germany, September 6-10, 2015.
  179. Mohamed Abou-Zleikha, Zheng-Hua Tan, Mads Græsbøll Christensen and Søren Holdt Jensen, “Discriminative Approach for Voice Selection in Speaker De-identification Systtem,” The 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France, August 31 – September 4, 2015.
  180. Xiaodong Duan and Zheng-Hua Tan, “Local Feature Learning for Face Recognition under Varying Poses,” IEEE International Conference on Image Processing (ICIP 2015), 27-30 September 2015, Quebec City, Canada.
  181. Xiaodong Duan and Zheng-Hua Tan, “A Feature Subtraction Method for Image Based Kinship Verification under Uncontrolled Environments,” IEEE International Conference on Image Processing (ICIP 2015), 27-30 September 2015, Quebec City, Canada. 
  182. Clara Schaarup, Gunnar Hartvigsen, Lars Bo Larsen, Zheng-Hua Tan, Eirik Årsand, and Ole Hejlesen, “Assessing the potential use of eye-tracking triangulation for evaluating the usability of an online diabetes exercise system,” The 15th World Congress on Health and Biomedical Informatics (MEDINFO 2015: eHealth-enabled Health), pp. 84-88, 1August 9-23, 2015, Sao Paulo, Brazil.
  183. Rasmus Lyngby Kristensen, Zheng-Hua Tan, Zhanyu Ma and Jun Guo, “Binary Pattern Flavored Feature Extractors for Facial Expression Recognition: An Overview,” CIS-MIPRO 2015, 25-29 May 2015, Opatija, Croatia.
  184. Sven Shepstone, Kong Aik Lee, Haizhou Li, Zheng-Hua Tan and Søren Holdt Jensen, “Source-Specific Informative Prior for I-Vector Extraction,” The 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), April 19 – 24, 2015, Brisbane, Australia. Sven Shepstone received the Ganesh N. Ramaswamy Memorial Student grant and award.
  185. Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan and Jesper Jensen, “Maximum Likelihood Approach to “Informed” Sound Source Localization for Hearing Aid Applications,” The 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), April 19 – 24, 2015, Brisbane, Australia.
  186. Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan and Jesper Jensen, “On the Influence of Microphone Array Geometry on HRTF-Based Sound Source Localization,” The 40th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2015), April 19 – 24, 2015, Brisbane, Australia.
  187. Zheng-Hua Tan, Nicolai Bæk Thomsen and Xiaodong Duan, “Designing and Implementing an Interactive Social Robot from Off-the-shelf Components,” The 3rd IFToMM Symposium on Mechanism Design for Robotics (MEDER2015), June 2-4, 2015, Aalborg, Denmark
  188. Nicolai Bæk Thomsen, Zheng-Hua Tan, Børge Lindberg and Søren Holdt Jensen, “Learning Direction of Attention for a Social Robot in Noisy Environments,” The 3rd AAU Workshop on Robotics (AAUROB2014), Aalborg, Denmark.
  189. Mohamed Abou-Zleikha, Zheng-Hua Tan, Søren Holdt Jensen and Mads Græsbøll Christensen, “Cluster-Based Adaptation Using Density Forest for HMM Phone Recognition,” EUSIPCO 2014 – the 2nd European Signal Processing Conference, September 1-5, 2014, Lisbon, Portugal.
  190. Yonggang Qi, Honggang Zhang, Yi-Zhe Song and Zheng-Hua Tan, “A Patch-based Sparse Representation for Sketch Recognition,” The 4th IEEE International Conference on Network Infrastructure and Digital Content (IEEE IC-NIDC2014), Beijing, China, September 19-21, 2014.
  191. Jesper Jensen and Zheng-Hua Tan, “Theoretically Consistent Method for Minimum Mean-Square Error Estimation of Mel-Frequency Cepstral Features,” The 4th IEEE International Conference on Network Infrastructure and Digital Content (IEEE IC-NIDC2014), Beijing, China, September 19-21, 2014. Best Paper Award.
  192. Ivan Kraljevski and Zheng-Hua Tan, “Variable Frame Rate and Length Analysis for Data Compression in Distributed Speech Recognition,” The 4th IEEE International Conference on Network Infrastructure and Digital Content (IEEE IC-NIDC2014), Beijing, China, September 19-21, 2014.
  193. Hristijan Petreski, Sofia Tsekeridou, Neeli R. Prasad and Zhen-Hua Tan, “Methodology for Dynamic Learning Resources Discovery and Retrieval from Social Media,” full paper at EDULEARN 2014 – the 6th annual International Conference on Education and New Learning Technologies, Barcelona, July 7-9, 2014. 
  194. Mohamed Abou-Zleikha, Zheng-Hua Tan, Søren Holdt Jensen and Mads Græsbøll Christensen, “Non-linguistic Vocal Events Detection and Localistion Using Online Random Forest,” MIPRO 2014 – the 37th International Convention, Special Session on BiForD – Biometrics & Forensics & De-identification and Privacy Protection, 26-30 May 2014, Opatija, Croatia.
  195. Swati Prasad, Zheng-Hua Tan and Ramjee Prasad, “Multistyle Training and Fusion for Speaker Identification of Disguised Voice,” The First International Conference on Communications, Connectivity, Convergence, Content and Cooperation (IC5), Mumbai, Maharashtra, India, December 16-19, 2013.
  196. Hristijan Petreski, Sofia Tsekeridou, Neeli R. Prasad and Zhen-Hua Tan, “Multi-dimensional technology-enabled social learning approach,” The 7th International Conference on Open and Distance Learning (ICODL 2013), November 10, 2013, in Athens, Greece.
  197. Yonggang Qi, Jun Guo, Yi Li, Honggang Zhang, Tao Xiang, Yi-Zhe Song and Zheng-Hua Tan, “Perceptual Grouping via Untangling Gestalt Principles,” The 2013 IEEE Visual Communications and Image Processing Conference (VCIP), Kuching, Sarawak, Malaysia, November 17-20, 2013. 2013. (Finalists nominated for Best Paper.)
  198. Sven Ewan Shepstone, Zheng-Hua Tan and Søren Holdt Jensen, “Demographic Recommendation by means of Group Profile Elicitation Using Speaker Age and Gender Recognition,” Interspeech 2013, Lyon, France, August 25-29, 2013.
  199. Morten Højfeldt Rasmussen and Zheng-Hua Tan, “Fusing Eye-gaze and Speech Recognition for Tracking in an Automatic Reading Tutor – A Step in the Right Direction?” Speech and Language Technology for Education (SLaTE 2013), Grenoble, France – August 30-31 & September 1st, 2013.
  200. Oldrich Plchot, Spyros Matsoukas, Pavel Matejka, Najim Dehak, Jeff Ma, Sandro Cumani, Ondrej Glembek, Hynek Hermansky, Sri Harish Mallidi, Nima Mesgarani, Richard Schwartz, Mehdi Soufifar, Zheng-Hua Tan, Samuel Thomas, Bing Zhang and Xinhui Zhou, “Developing a Speaker Identification System for the DARPA RATS project,” ICASSP 2013 – the 38th International Conference on Acoustics, Speech, and Signal Processing, Vancouver, Canada, May 26 – 31, 2013. 
  201. Swati Prasad, Zheng-Hua Tan and Ramjee Prasad, “Multi-Frame Rate Based Multiple-Model Training for Robust Speaker Identification of Disguised Voice,” The 16th International Symposium on Wireless Personal Multimedia Communications(WPMC 2013), Atlantic City, New Jersey, USA, June 24-27, 2013. 
  202. Zhanyu Ma, Zheng-Hua Tan and Swati Prasad, “EEG Signal Classification with Super-Dirichlet Mixture Model,” The 2012 IEEE Statistical Signal Processing Workshop (SSP 2012), August 5-8, 2012, Ann Arbor, USA.
  203. Emanouil Amolochitis, Ioannis T. Christou, Zheng-Hua Tan and Ramjee Prasad, “PUBSEARCH: A Hierarchical Heuristic Scheme for Ranking Academic Search Results,” International Conference on Pattern Recognition Applications and Methods (ICPRAM 2012), Vilamoura, Algarve, Portugal.
  204. Menelaos Bakopoulos, Sofia Tsekeridou, Eri Giannaka, Zheng-Hua Tan and Ramjee Prasad, “Mobile Video Annotation for Enhanced Rich Media Communication During Emergency Handling,” The 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2011), October 26-29, 2011, Barcelona, Spain. 
  205. Swati Prasad, Zheng-Hua Tan, Ramjee Prasad, Alvaro Fuentes Cabrera, Ying Gu and Kim Dremstrup, “Feature Selection Strategy for Classification of Single-Trial EEG Elicited by Motor Imagery,” The 14th International Symposium on Wireless Personal Multimedia Communications (WPMC 2011), Brest, France, 3-7 October 2011.
  206. P. Mowlaee, R. Saeidi, Z. -H. Tan, M. G. Christensen, T. Kinnunen, P. Fränti and S. H. Jensen, “Sinusoidal Approach for the Single-Channel Speech Separation and Recognition Challenge,” Interspeech 2011, Florence, Italy, 27-31 August 2011.
  207. Theodoros Petsatodis, Fotios Talantzis, Christos Boukis, Zheng-Hua Tan and Ramjee Prasad, “Multi-Sensor Voice Activity Detection based on Multiple Observation Hypothesis Testing,” Interspeech 2011, Florence, Italy, 27-31 August 2011.
  208. Morten Højfeldt Rasmussen, Jack Mostow, Zheng-Hua Tan, Børge Lindberg and Yuanpeng Li, “Evaluating Tracking Accuracy of an Automatic Reading Tutor,” Speech and Language Technology for Education (SLaTE 2011), Venice, Italy, 24 – 26 August 2011. 
  209. Morten Højfeldt Rasmussen, Børge Lindberg and Zheng-Hua Tan, “Combining Acoustic and Language Model Miscue Detection Methods for Dyslexic Read Speech,” Speech and Language Technology for Education (SLaTE 2011), Venice, Italy, 24 – 26 August 2011. 
  210. Menelaos Bakopoulos, Sofia Tsekeridou, Eri Giannaka, Zheng-Hua Tan, Ramjee Prasad, “Command & Control: Information Merging, Selective Visualization and Decision Support for Emergency Handling,” full paper at The 8th International Conference on Information Systems for Crisis Response and Management, Lisbon, Portugal, 8-11 May 2011.
  211. Pejman Mowlaee, Mads Græsbøll Christensen, Zheng-Hua Tan, Søren Holdt Jensen, “A MAP Criterion for Detecting the Number of Speakers at Frame Level in Model-based Single-Channel Speech Separation,” The 44th Annual Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, California, USA, 7-10 November 2010.
  212. Zheng-Hua Tan, “Machine Perception for Identification and Interaction in the Internet of Things,” invited paper at The 13th International Symposium on Wireless Personal Multimedia Communications (WPMC 2010), Recife, Brazil, 11-14 October 2010.  
  213. R. Saeidi, P. Mowlaee, T. Kinnunen, Z. -H. Tan, M. G. Christensen, S. H. Jensen, and P. Fränti, “Improving Monaural Speaker Identification by Double-Talk Detection,” Interspeech 2010, Makuhari, Japan, 26-30 September 2010. 
  214. Rahim Saeidi, Pejman Mowlaee, Tomi Kinnunen, Zheng-Hua Tan, Mads Græsbøll Christensen, Søren Holdt Jensen, Pasi Fränti, “Signal-to-Signal Ratio Independent Speaker Identification Co-Channel Speech Signals,” the 20th International Conference on Pattern Recognition, Istanbul, Turkey, 23-26 August 2010. 
  215. Francesco Santoro, Sergio Pedro, Zheng-Hua Tan and Thomas B. Moeslund, ” Crowd Analysis by Using Optical Flow and Density Based Clustering,” EUSIPCO 2010 – the 18th European Signal Processing Conference, Aalborg, Denmark, 23-27 August 2010.
  216. M. Andersen, R. S. Andersen, N. Katsarakis, A. Pnevmatikakis and Z.-H. Tan, “Three-Dimensional Adaptive Sensing of People in a Multi-Camera Setup,” invited paper at EUSIPCO 2010 – the 18th European Signal Processing Conference, Aalborg, Denmark, 23-27 August 2010.
  217. Pejman Mowlaee, Rahim Saiedi, Zheng-Hua Tan, Mads Græsbøll Christensen, Pasi Franti, Søren Holdt Jensen, “Joint Single-Channel Speech Separation and Speaker Identification,” ICASSP 2010 – the 35th International Conference on Acoustics, Speech, and Signal Processing, Dallas, Texas, USA, 14-19 March 2010.  
  218. Zheng-Hua Tan and Børge Lindberg, “High-Accuracy, Low-Complexity Voice Activity Detection Based on A Posteriori SNR Weighted Energy,” Interspeech 2009, Brighton, U.K., September 2009.
  219. Morten Højfeldt Rasmussen, Zheng-Hua Tan, Børge Lindberg and Søren Holdt Jensen, “A System for Detecting Miscues in Dyslexic Read Speech,” Interspeech 2009, Brighton, U.K., September 2009.
  220. Zheng-Hua Tan and Børge Lindberg, “A Posteriori SNR Weighted Energy Based Variable Frame Rate Analysis for Speech Recognition,” Interspeech 2008, Brisbane, Australia, September 2008.  
  221. Zheng-Hua Tan and Børge Lindberg, ““An Efficient Frame Selection Approach to Variable Frame Rate Analysis for Noise Robust Speech Recognition,” Acoustics 2008 (the 155th ASA meeting), Paris, France, June 2008.
  222. Zheng-Hua Tan and Børge Lindberg, “A Variable Frame Rate Method for Distributed Speech Recognition over Wireless Networks,” The 10th International Symposium on Wireless Personal Multimedia Communications, Jaipur, India, December 2007.  
  223. Zheng-Hua Tan, “Variable Frame Rate Analysis for Automatic Speech Recognition,” SPIE Multimedia Systems and Applications X, Boston, MA, USA, September 2007.
  224. Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “Robust Speech Recognition over Mobile Networks Using Combined Weighted Viterbi Decoding and Subvector Based Error Concealment,” Interspeech 2006, Pittsburgh PA, USA, September 2006.
  225. Tom Brøndsted, Lars Bo Larsen, Børge Lindberg, Morten Rasmussen, Zheng-Hua Tan, Haitian Xu, “Distributed Speech Recognition for Information Retrieval on Mobile Devices,” Workshop on Speech in Mobile and Pervasive Environments, Espoo, Finland, September 2006.
  226. Haitian Xu, Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “Robust Speech Recognition from Noise-Type Based Feature Compensation and Model Interpolation in a Multiple Model Framework,” IEEE ICASSP 2006 – the 29th International Conference on Acoustics, Speech, and Signal Processing, Toulouse, France, May 2006.
  227. Lars Bo Larsen, Tom Brøndsted, Kasper Løvborg Jensen, Søren Larsen, Børge Lindberg, Morten Rasmussen, Zheng-Hua Tan, Haitian Xu, “Distributed Speech Recognition as an Interaction Paradigm for Mobile Information Access,” The Sixth Danish HCI Research Symposium, Aarhus, Denmark, Nov. 2006.
  228. Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “Adaptive Multi-Frame-Rate Scheme for Distributed Speech Recognition Based on a Half Frame-Rate Front-End”, IEEE MMSP 2005 – the 7th International Workshop on Multimedia Signal Processing, Shanghai, China, Nov. 2005.
  229. Haitian Xu, Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “Combined Spectral Subtraction and Cepstral Normalisation for Robust Speech Recognition”, ASIDE 2005 – COST278 and ISCA Tutorial and Research Workshop (ITRW) on Applied Spoken Language Interaction in Distributed Environments, Aalborg, Denmark, November 2005. 
  230. Tom Brøndsted, Henrik L. Larsen, Lars B. Larsen, Børge Lindberg, Daniel Ortiz-Arroyo, Zheng-Hua Tan, Haitian Xu, “Mobile Information Access with Spoken Query Answering”, ASIDE 2005 – COST278 and ISCA Tutorial and Research Workshop (ITRW) on Applied Spoken Language Interaction in Distributed Environments, Aalborg, Denmark, November 2005.
  231.  Zheng-Hua Tan, Paul Dalsgaard, Børge Lindberg and Haitian Xu, “Robust Speech Recognition in Ubiquitous Networking and Context-Aware Computing”, Interspeech 2005, Lisbon, Portugal, Sep. 2005.
  232. Haitian Xu, Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “Robust Speech Recognition Based on Noise and SNR Classification – a Multiple-Model Framework”, Interspeech 2005, Lisbon, Portugal, Sep. 2005.
  233. Haitian Xu, Zheng-Hua Tan, Paul Dalsgaard, Ralf Mattethat and Børge Lindberg, “AAU-DSR: A User Configurable Distributed Speech Recognition System”, Biennial on DSP for in-Vehicle and Mobile Systems, Sesimbra, Portugal, Sep. 2005.
  234. Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “On the Integration of Speech Recognition into Personal Networks,” invited paper at ICSLP 2004 – the 8th International Conference on Spoken Language Processing, Jeju Island, Korea, Oct. 2004.
  235. Haitian Xu, Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “Spectral Subtraction with Full-Wave Rectification and Likelihood Controlled Instantaneous Noise Estimation for Robust Speech Recognition,” ICSLP 2004 – the 8th International Conference on Spoken Language Processing, Jeju Island, Korea, Oct. 2004.
  236. Zheng-Hua Tan, Børge Lindberg and Paul Dalsgaard, “A Comparative Study of Feature-Domain Error Concealment Techniques for Distributed Speech Recognition”, Robust 2004 – COST278 and ISCA Tutorial and Research Workshop (ITRW) on Robustness Issues in Conversational Interaction, Norwich, UK, Aug. 2004.
  237. Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “A Subvector-Based Error Concealment Algorithm for Speech Recognition over Mobile Networks,” Proceedings IEEE ICASSP 2004 – the 29th International Conference on Acoustics, Speech, and Signal Processing, Montreal, Quebec, Canada, May 2004.
  238. Zheng-Hua Tan, Paul Dalsgaard and Børge Lindberg, “OOV-Detection and Channel Error Protection for Distributed Speech Recognition Over Wireless Networks,” Proceedings IEEE ICASSP 2003 – the 28th International Conference on Acoustics, Speech, and Signal Processing, pp. I-336-339, Hong Kong, P R China, Apr. 2003.
  239. Zheng-Hua Tan and Paul Dalsgaard.  “Channel Error Protection Scheme for Distributed Speech Recognition,” ProceedingsICSLP 2002 – the 7th International Conference on Spoken Language Processing, pp. 2225-2228, Denver USA, Sep. 2002.
  240. Zheng-Hua Tan, Børge Lindberg and Paul Dalsgaard, “Experiments on A Channel Error Protection Scheme for Distributed Speech Recognition,” Proceedings NORSIG 2002 – the 5th Nordic Signal Processing Symposium, Norway, Oct., 2002.
  241. He Xuming, Hu Guangrui and Tan Zhenghua, “Coevolutionary Approach to Speaker Identification Using Neural Networks,” The 5th International Conference on Signal Processing (WCCC-ICSP 2000), Vol. 3, pp. 1572 –1575, 2000.
  242. Xiaolin Ren, Guangrui Hu and Zhenghua Tan, “Controlling Chaos in a Chaotic Neuron,” IEEE IECON’99, pp.652-655, San Jose, California, USA, 1999.
  243. Zheng-Hua Tan et al., “Modified Miller-Matrix Encoding Method and Its Application in Evolutionary Artificial Neural Networks,” Journal of Shanghai Jiao Tong University, 2001.
  244. Zheng-Hua Tan, Guang-Rui Hu and Jia-Hua Hou, “Uncertain Knowledge Management in Expert Systems Using Fuzzy Metagraphs,” Journal of Shanghai Jiao Tong University (English edition), vol. 5, no. 2, pp. 6-9, 2000.
  245. Zheng-Hua Tan et al., “Study on An Evolutionary Artificial Neural Network,” Nature Magazine, 2000.
  246. Zheng-Hua Tan et al., “Designing Artificial Neural Networks Through Evolutionary Programming,” Computer Engineering and Applications, 1999, Vol. 35, No. 10.
  247. Zheng-Hua Tan et al., “Fuzzy Metagraphs and Its Feature Analysis,” Computer Research & Development, 2000, Vol. 37, No. 3, pp. 272-277. 
  248. Zheng-Hua Tan et al., “Fuzzy Metagraphs: A New Method of Constructing Fuzzy Knowledge Base,” Control and Decision, 2000, Vol. 15, No. 4, pp. 406-410.  
  249. Zheng-Hua Tan et al., “Fuzzy Metagraph and Its Applications in Aerocraft Fault Diagnosis,” Journal of Shanghai Jiao Tong University, 1999, 33(9), pp.1103-1106.  
  250. Zheng-Hua Tan et al., “The Application of Computational Intelligence in Fault Diagnosis Expert Systems,” Computer Engineering and Applications, 1999, Vol. 35, No. 6, pp.7-10.
  251. Chen Wei, Hu Guangrui and Zheng-Hua Tan, “Knowledge Association in Expert System for Fault Diagnosis of Certain Spacecraft,” Journal of Shanghai Jiao Tong University, 2000, Vol. 34, No. 2, pp.241-243.
  252. Ren Xiaolin, Hu Guangrui and Zheng-Hua Tan, “Controlling Chaos in a Chaotic Neuron,” Nature Magazine, 1999, No. 5, pp.308-309.
  253. Ren Xiaolin, Hu Guangrui and Zheng-Hua Tan, “Controlling Chaos in Chaotic Neuron by Constant Pulses Method,”Journal of Shanghai Jiao Tong University, 2000, Vol. 34, No. 2, pp.269-272.
  254. Ren Xiaolin, Hu Guangrui and Zheng-Hua Tan, “Synchronization of chaotic neural networks and applications in secure communications,” Journal of Shanghai Jiao Tong University, 2000, Vol. 34, No. 6, pp. 744-747. EI Indexed
  255. Zheng-Hua Tan et al., “Portable Electrometer Based on PIC Series Singlechip,” Chinese Journal of Scientific Instrument, 2000, Vol. 21, No. 1, pp.78-79, 82. 
  256. Zheng-Hua Tan et al., “The Development of Intelligent Inverter Supply and the Generation of SPWM Wave by Software,”Journal of Shanghai Jiao Tong University, 2000, Vol. 34, No. 2, pp.273-275.
  257. Zheng-Hua Tan et al., “Static Measure and Its Programming,” Aerospace Measure Technology, 2000, No.1.
  258. Zheng-Hua Tan et al., “Investigation on Some Problems of GAL Programming Using ABEL Software,” Journal of Electrical Engineering Education, 1995, 17(Supplemental Issue), 83-85.
  259. Zheng-Hua Tan et al., “Research on GAL On-line Programming,” Journal of Hunan University, 1995, Vol. 22, Special No. 5, 8-12.

Books and Proceedings

  • Nelly Pustelnik, Zhanyu Ma, Zheng-Hua Tan and Jan Larsen (eds.), Proceedings of 2018 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2018), IEEE Press, Aalborg, Denmark, September 17-20, 2018. (ISBN: 978-1-5386-5477-4).
  • Zheng-Hua Tan, Najim Dehak, Jan Larsen and Zhanyu Ma (eds.), Proceedings of the First International Workshop on Sensing, Processing and Learning for Intelligent Machines (SPLINE 2016), IEEE Press, Aalborg, Denmark, July 2016. (ISBNs: 978-1-4673-8916-7 and 978-1-4673-8917-4).
  • Zheng-Hua Tan, Shaoping Bai, Thomas Bak, Matthias Rehm and Elizabeth Ann Jochum (Eds.), Proceedings of the 3rd AAU Workshop on Robotics, AAU Press, 2015. (ISBN: 978-87-7112- 433-0).
  • Zheng-Hua Tan, and Børge Lindberg (eds.), Automatic speech recognition on mobile devices and over communication networks, Springer-Verlag, London, March 2008, 415 pages, 115 illustrations (Amazon Sales Rank Top 10 both in speech processing and in voice recognition). (ISBN: 978-1-84800-142-8)
  • Zheng-Hua Tan, Yi Wan, Tao Xiang, and Yibin Song, Proceedings of the 3rd International Congress on Image and Signal Processing (CISP 2010), IEEE Press, Yantai, China, October 2010. (ISBN: 978-1-4244-6515-6)
  • Paul Dalsgaard, Børge Lindberg, Henrik Benner and Zheng-Hua Tan, Book Abstract of Eurospeech 2001 Proceedings, 2001. Kommunik Grafiske Løsninger, September 2001. (ISBN: 87-90834-10-0)
  • Guangrui Hu, Changqing Xu, Zheng-Hua Tan and Xinbao Gong, Problem Handbook of Signals and Systems, Science Press of China, 1999.

Book Chapters

  • Mohamed Abou-Zleikha, Zheng-Hua Tan, Mads Græsbøll Christensen and Søren Holdt Jensen, “Utilising Tree-Based Ensemble Learning for Speaker Segmentation,” Full paper published in the Springer LNCS Proceedings of the 10th International Conference on Artificial Intelligence Applications and Innovations (AIAI 2014), Island of Rhodes, Greece, September 19-21, 2014. 
  • Nicolai B. Thomsen, Zheng-Hua Tan, Børge Lindberg and Søren Holdt Jensen, “Improving Robustness against Environmental Sounds for Directing Attention of Social Robots,” Springer LNAI, vol. 8757: Proceedings of the 2nd Workshop on Multimodal Analyses Enabling Artificial Agents in Human-Machine Interaction, September 14, 2014, Singapore.
  • Zheng-Hua Tan and Børge Lindberg, “Speech Recognition on Mobile Devices,” X. Jiang, M. Ma and C. Chen (eds.), Mobile Multimedia Processing: Fundamentals, Methods, and Applications, Springer LNCS, vol. 5960, 2010.
  • Zheng-Hua Tan, “Audio and speech processing for data mining”, John Wang (Ed.), Encyclopedia of Data Warehousing and Mining – 2nd Edition, IGI Global, 2008, pp. 98-103.
  • Zheng-Hua Tan and Imre Varga “Networked, distributed and embedded speech recognition: an overview”, Z.-H. Tan, and B. Lindberg (eds.), Automatic speech recognition on mobile devices and over communication networks, Springer-Verlag, London, to appear in 2008.
  • Haitian Xu, Zheng-Hua Tan, Paul Dalsgaard, Ralf Mattethat and Børge Lindberg, “A Configurable Distributed Speech Recognition System”, H. Abut, J.H.L. Hansen, K. Takeda (eds.), Digital Signal Processing for In-Vehicle and Mobile Systems 2, Springer Science, New York, NY, 2006.

Special Issues in Journals

  • Zhanyu Ma, Jen-Tzung Chien, Zheng-Hua Tan, Yi-Zhe Song, Jalil Taghia and Ming Xiao, “Recent Advances in Machine Learning for Non-Gaussian Data Processing,” Neurocomputing, vol. 278, pp. 1-152, February 2018. 
  • Jun Guo, Zheng-Hua Tan, Sung Ho Cho, and Guoqiang Zhang, “Machine Learning for Big Data Processing in Mobile Internet,” Wireless Personal Communications, vol. 102, no. 3, pp. 2093-2387, October 2018.
  • Zheng-Hua Tan, Reinhold Haeb-Umbach, Sadaoki Furui, James R. Glass and Maurizio Omologo, “Introduction to the Issue on Speech Processing for Natural Interaction with Intelligent Environments,” IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 5, pp. 769 – 910, October 2010.
  • Weichuan Yu, Zheng-Hua Tan and Yi Wang, “Special Issue on New Trends in Signal Processing and Biomedical Engineering,” Elsevier Computers and Electrical Engineering, vol. 38, no. 1, pp. 1-81, January 2012.