Xinzhou Xu

Orcid: 0000-0002-4017-5919

According to our database1, Xinzhou Xu authored at least 21 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Speech Emotion Detection Using Fusion on Multi-Source Low-Level Information Based Recurrent Branches.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2024

2023
Speaker Recognition Using Isomorphic Graph Attention Network Based Pooling on Self-Supervised Representation.
CoRR, 2023

Zero-Shot Speech Emotion Recognition Using Generative Learning with Reconstructed Prototypes.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Exploring Zero-Shot Emotion Recognition in Speech Using Semantic-Embedding Prototypes.
IEEE Trans. Multim., 2022

Rethinking Auditory Affective Descriptors Through Zero-Shot Emotion Recognition in Speech.
IEEE Trans. Comput. Soc. Syst., 2022

Convolutional-Recurrent Neural Networks With Multiple Attention Mechanisms for Speech Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst., 2022

Zero-Shot Audio Classification Using Synthesised Classifiers and Pre-Trained Models.
Proceedings of the 15th International Congress on Image and Signal Processing, 2022

2021
Adaptive Generalized Cross-Entropy Loss for Sound Event Classification with Noisy Labels.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

Identifying surgical-mask speech using deep neural networks on low-level aggregation.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2019
Connecting Subspace Learning and Extreme Learning Machine in Speech Emotion Recognition.
IEEE Trans. Multim., 2019

Autonomous Emotion Learning in Speech: A View of Zero-Shot Speech Emotion Recognition.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

2018
Semisupervised Autoencoders for Speech Emotion Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Leveraging Unlabeled Data for Emotion Recognition With Enhanced Collaborative Semi-Supervised Learning.
IEEE Access, 2018

2017
A Two-Dimensional Framework of Multiple Kernel Subspace Learning for Recognizing Emotion in Speech.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Universum Autoencoder-Based Domain Adaptation for Speech Emotion Recognition.
IEEE Signal Process. Lett., 2017

2016
Exploitation of Phase-Based Features for Whispered Speech Emotion Recognition.
IEEE Access, 2016

Fisher Kernels on Phase-Based Features for Speech Emotion Recognition.
Proceedings of the Dialogues with Social Robots, 2016

Multiscale kernel locally penalised discriminant analysis exemplified by emotion recognition in speech.
Proceedings of the 18th ACM International Conference on Multimodal Interaction, 2016

Pairwise Decomposition with Deep Neural Networks and Multiscale Kernel Subspace Learning for Acoustic Scene Classification.
Proceedings of the Workshop on Detection and Classification of Acoustic Scenes and Events, 2016

The University of Passau Open Emotion Recognition System for the Multimodal Emotion Challenge.
Proceedings of the Pattern Recognition - 7th Chinese Conference, 2016

2015
Dimensionality reduction for speech emotion features by multiscale kernels.
Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015


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