Zixing Zhang

Orcid: 0000-0001-8487-0561

Affiliations:

Imperial College London, Department of Computing, UK
University of Passau, Faculty of Computer Science and Mathematics, Germany
TU Munich, Institute for Human-Machine Communication, Germany

According to our database¹, Zixing Zhang authored at least 103 papers between 2011 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

STAA-Net: A Sparse and Transferable Adversarial Attack for Speech Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Diversifying Emotional Dialogue Generation via Selective Adversarial Training.

[BibT_eX]

[DOI]

Bo Li

Huan Zhao

Zixing Zhang

Sensors, July, 2023

ACG-EmoCluster: A Novel Framework to Capture Spatial and Temporal Information from Emotional Speech Enhanced by DeepCluster.

[BibT_eX]

[DOI]

Sensors, 2023

Customising General Large Language Models for Specialised Emotion Recognition Tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Refashioning Emotion Recognition Modelling: The Advent of Generalised Large Models.

[BibT_eX]

[DOI]

CoRR, 2023

Frequency Domain Feature Learning with Wavelet Transform for Image Translation.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2023: Trends in Artificial Intelligence, 2023

GCFormer: A Graph Convolutional Transformer for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Multimodal Interaction, 2023

Privacy-Enhanced Federated Learning Against Attribute Inference Attack for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Zero-Shot Speech Emotion Recognition Using Generative Learning with Reconstructed Prototypes.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Exploring Zero-Shot Emotion Recognition in Speech Using Semantic-Embedding Prototypes.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Rethinking Auditory Affective Descriptors Through Zero-Shot Emotion Recognition in Speech.

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., 2022

Dynamic Restrained Uncertainty Weighting Loss for Multitask Learning of Vocal Expression.

[BibT_eX]

[DOI]

Meishu Song

Zijiang Yang

Andreas Triantafyllopoulos

CoRR, 2022

Deliberation Selector for Knowledge-Grounded Conversation Generation.

[BibT_eX]

[DOI]

Proceedings of the PRICAI 2022: Trends in Artificial Intelligence, 2022

Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Self-attention transfer networks for speech emotion recognition.

[BibT_eX]

[DOI]

Virtual Real. Intell. Hardw., 2021

Can Machine Learning Assist Locating the Excitation of Snore Sound? A Review.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2021

EmoBed: Strengthening Monomodal Emotion Recognition via Training with Crossmodal Emotion Embeddings.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2021

Artificial Intelligence Internet of Things for the Elderly: From Assisted Living to Health-Care Monitoring.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2021

Deep Learning for Mobile Mental Health: Challenges and recent advances.

[BibT_eX]

[DOI]

IEEE Signal Process. Mag., 2021

Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition.

[BibT_eX]

[DOI]

Neural Networks, 2021

Computer Audition for Fighting the SARS-CoV-2 Corona Crisis - Introducing the Multitask Speech Corpus for COVID-19.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Internet of emotional people: Towards continual affective computing cross cultures via audiovisual signals.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

Learning audio sequence representations for acoustic event classification.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Exploring Perception Uncertainty for Emotion Recognition in Dyadic Conversation and Music Listening.

[BibT_eX]

[DOI]

Cogn. Comput., 2021

Identifying surgical-mask speech using deep neural networks on low-level aggregation.

[BibT_eX]

[DOI]

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2020

Snore-GANs: Improving Automatic Snore Sound Classification With Synthesized Data.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2020

Guest Editorial Special Issue on Adversarial Learning in Computational Intelligence.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., 2020

Exploiting time-frequency patterns with LSTM-RNNs for low-bitrate audio restoration.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2020

Automatic Assessment of Depression From Speech via a Hierarchical Attention Transfer Network and Attention Autoencoders.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2020

Robust Semisupervised Generative Adversarial Networks for Speech Emotion Recognition via Distribution Smoothness.

[BibT_eX]

[DOI]

Huan Zhao

Yufeng Xiao

Zixing Zhang

IEEE Access, 2020

An Early Study on Intelligent Analysis of Speech Under COVID-19: Severity, Sleep Quality, Fatigue, and Anxiety.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2020, 2020

Hierarchical Attention Transfer Networks for Depression Assessment from Speech.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Generating and Protecting Against Adversarial Attacks for Deep Speech-Based Emotion Recognition Models.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Dynamic Difficulty Awareness Training for Continuous Emotion Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2019

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives [Review Article].

[BibT_eX]

[DOI]

Jing Han

Zixing Zhang

Björn W. Schuller

IEEE Comput. Intell. Mag., 2019

Exploring Deep Spectrum Representations via Attention-Based Recurrent and Convolutional Neural Networks for Speech Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Access, 2019

Automatic Detection of Major Depressive Disorder via a Bag-of-Behaviour-Words Approach.

[BibT_eX]

[DOI]

Proceedings of the Third International Symposium on Image Computing and Digital Medicine, 2019

Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2019, 2019

Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2019, 2019

VCMNet: Weakly Supervised Learning for Automatic Infant Vocalisation Maturity Analysis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Multimodal Interaction, 2019

Compact Convolutional Recurrent Neural Networks via Binarization for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Implicit Fusion by Joint Audiovisual Training for Emotion Recognition in Mono Modality.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Attention-augmented End-to-end Multi-task Learning for Emotion Prediction from Speech.

[BibT_eX]

[DOI]

Zixing Zhang

Bingwen Wu

Björn W. Schuller

Proceedings of the IEEE International Conference on Acoustics, 2019

Teaching Machines to Know Your Depressive State: On Physical Activity in Health and Major Depressive Disorder.

[BibT_eX]

[DOI]

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Audiovisual Analysis for Recognising Frustration during Game-Play: Introducing the Multimodal Game Frustration Database.

[BibT_eX]

[DOI]

Meishu Song

Zijiang Yang

Alice Baird

Emilia Parada-Cabaleiro

Zixing Zhang

Ziping Zhao

Björn W. Schuller

Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018

Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2018

Semisupervised Autoencoders for Speech Emotion Recognition.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2018

Deep Scalogram Representations for Acoustic Scene Classification.

[BibT_eX]

[DOI]

IEEE CAA J. Autom. Sinica, 2018

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives.

[BibT_eX]

[DOI]

CoRR, 2018

Snoring classified: The Munich-Passau Snore Sound Corpus.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2018

Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning.

[BibT_eX]

[DOI]

IEEE Access, 2018

Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2018, 2018

Automated Classification of Children's Linguistic versus Non-Linguistic Vocalisations.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2018, 2018

Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2018, 2018

Evolving Learning for Analysing Mood-Related Infant Vocalisation.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2018, 2018

Exploring A New Method for Food Likability Rating Based on DT-CWT Theory.

[BibT_eX]

[DOI]

Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

Towards Conditional Adversarial Training for Predicting Emotions from Speech.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Classification of the Excitation Location of Snore Sounds in the Upper Airway by Acoustic Multifeature Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2017

A Two-Dimensional Framework of Multiple Kernel Subspace Learning for Recognizing Emotion in Speech.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2017

Advanced Data Exploitation in Speech Analysis: An overview.

[BibT_eX]

[DOI]

Zixing Zhang

Nicholas Cummins

Björn W. Schuller

IEEE Signal Process. Mag., 2017

Universum Autoencoder-Based Domain Adaptation for Speech Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2017

Strength modelling for real-worldautomatic continuous affect recognition from audiovisual signals.

[BibT_eX]

[DOI]

Image Vis. Comput., 2017

Learning Audio Sequence Representations for Acoustic Event Classification.

[BibT_eX]

[DOI]

CoRR, 2017

Deep Learning for Environmentally Robust Speech Recognition: An Overview of Recent Developments.

[BibT_eX]

[DOI]

CoRR, 2017

Recognizing Emotions From Whispered Speech Based on Acoustic Feature Transfer Learning.

[BibT_eX]

[DOI]

IEEE Access, 2017

From Hard to Soft: Towards more Human-like Emotion Recognition by Modelling the Perception Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Towards Intelligent Crowdsourcing for Audio Data Annotation: Integrating Active Learning in the Real World.

[BibT_eX]

[DOI]

Simone Hantke

Zixing Zhang

Björn W. Schuller

Proceedings of the Interspeech 2017, 2017

Towards intoxicated speech recognition.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Prediction-based learning for continuous emotion recognition in speech.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Reconstruction-error-based learning for continuous emotion recognition in speech.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Deep Sequential Image Features on Acoustic Scene Classification.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

Wavelets Revisited for the Classification of Acoustic Scenes.

[BibT_eX]

[DOI]

Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2017

2016

Exploitation of Phase-Based Features for Whispered Speech Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Access, 2016

Spectral and Cepstral Audio Noise Reduction Techniques in Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Fisher Kernels on Phase-Based Features for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the Dialogues with Social Robots, 2016

Facing Realism in Spontaneous Emotion Recognition from Speech: Feature Enhancement by Autoencoder with LSTM Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2016, 2016

Multiscale kernel locally penalised discriminant analysis exemplified by emotion recognition in speech.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

Enhanced semi-supervised learning for multimodal emotion recognition.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Wavelet features for classification of vote snore sounds.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015

Semi-Autonomous Data Enrichment and Optimisation for Intelligent Speech Analysis.

[BibT_eX]

[DOI]

Zixing Zhang

PhD thesis, 2015

Cooperative Learning and its Application to Emotion Recognition from Speech.

[BibT_eX]

[DOI]

IEEE ACM Trans. Audio Speech Lang. Process., 2015

Dynamic Active Learning Based on Agreement and Applied to Emotion Recognition in Spoken Interactions.

[BibT_eX]

[DOI]

Proceedings of the 2015 ACM on International Conference on Multimodal Interaction, Seattle, WA, USA, November 09, 2015

Bird sounds classification by large scale acoustic features and extreme learning machine.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015

On rater reliability and agreement based dynamic active learning.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Affective Computing and Intelligent Interaction, 2015

2014

Channel mapping using bidirectional long short-term memory for dereverberation in hands-free voice controlled devices.

[BibT_eX]

[DOI]

IEEE Trans. Consumer Electron., 2014

Distributing Recognition in Computational Paralinguistics.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2014

Autoencoder-based Unsupervised Domain Adaptation for Speech Emotion Recognition.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2014

Robust speech recognition using long short-term memory recurrent neural networks for hybrid acoustic modelling.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2014, 2014

Linked Source and Target Domain Subspace Feature Transfer Learning - Exemplified by Speech Emotion Recognition.

[BibT_eX]

[DOI]

Jun Deng

Zixing Zhang

Björn W. Schuller

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Introducing shared-hidden-layer autoencoders for transfer learning and their application in acoustic emotion recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Active learning by label uncertainty for acoustic emotion recognition.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2013, 2013

Co-training succeeds in Computational Paralinguistics.

[BibT_eX]

[DOI]

Zixing Zhang

Jun Deng

Björn W. Schuller

Proceedings of the IEEE International Conference on Acoustics, 2013

Feature enhancement by bidirectional LSTM networks for conversational speech recognition in highly non-stationary noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Sparse Autoencoder-Based Feature Transfer Learning for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction, 2013

2012

Synthesized speech for model training in cross-corpus recognition of human emotion.

[BibT_eX]

[DOI]

Int. J. Speech Technol., 2012

Towards distributed recognition of emotion from speech.

[BibT_eX]

[DOI]

Proceedings of the 5th International Symposium on Communications, 2012

Active Learning by Sparse Instance Tracking and Classifier Confidence in Acoustic Emotion Recognition.

[BibT_eX]

[DOI]

Zixing Zhang

Björn W. Schuller

Proceedings of the INTERSPEECH 2012, 2012

Semi-supervised learning helps in sound event classification.

[BibT_eX]

[DOI]

Zixing Zhang

Björn W. Schuller

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Automatic recognition of emotion evoked by general sound events.

[BibT_eX]

[DOI]

Shrikanth S. Narayanan

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Towards Automatic Intoxication Detection from Speech in Real-Life Acoustic Environments.

[BibT_eX]

[DOI]

Zixing Zhang

Felix Weninger

Björn W. Schuller

Proceedings of the 10th ITG Conference on Speech Communication, 2012

2011

Using Multiple Databases for Training in Emotion Recognition: To Unite or to Vote?

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2011, 2011

Unsupervised learning in cross-corpus acoustic emotion recognition.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

Zixing Zhang

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