Hailun Lian

According to our database, Hailun Lian authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

PAVITS: Exploring Prosody-aware VITS for End-to-End Emotional Voice Conversion.

Tianhua Qi, Wenming Zheng, Cheng Lu, Yuan Zong, Hailun Lian

CoRR, 2024

Speech Swin-Transformer: Exploring a Hierarchical Transformer with Shifted Windows for Speech Emotion Recognition.

Yong Wang, Cheng Lu, Hailun Lian, Yan Zhao, Björn W. Schuller, Yuan Zong, Wenming Zheng

CoRR, 2024

Improving Speaker-independent Speech Emotion Recognition Using Dynamic Joint Distribution Adaptation.

Cheng Lu, Yuan Zong, Hailun Lian, Yan Zhao, Björn W. Schuller, Wenming Zheng

CoRR, 2024

2023

Speech Emotion Recognition via an Attentive Time-Frequency Neural Network.

Cheng Lu, Wenming Zheng, Hailun Lian, Yuan Zong, Chuangao Tang, Sunan Li, Yan Zhao

IEEE Trans. Comput. Soc. Syst., December, 2023

A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face.

Hailun Lian, Cheng Lu, Sunan Li, Yan Zhao, Chuangao Tang, Yuan Zong

Entropy, October, 2023

Towards Domain-Specific Cross-Corpus Speech Emotion Recognition Approach.

Yan Zhao, Yuan Zong, Hailun Lian, Cheng Lu, Jingang Shi, Wenming Zheng

CoRR, 2023

Layer-Adapted Implicit Distribution Alignment Networks for Cross-Corpus Speech Emotion Recognition.

Yan Zhao, Yuan Zong, Jincen Wang, Hailun Lian, Cheng Lu, Li Zhao, Wenming Zheng

CoRR, 2023

Learning Local to Global Feature Aggregation for Speech Emotion Recognition.

Cheng Lu, Hailun Lian, Wenming Zheng, Yuan Zong, Yan Zhao, Sunan Li

CoRR, 2023

Label Distribution Adaptation for Multimodal Emotion Recognition with Multi-label Learning.

Hailun Lian, Cheng Lu, Sunan Li, Yan Zhao, Chuangao Tang, Yuan Zong, Wenming Zheng

Proceedings of the 1st International Workshop on Multimodal and Responsible Affective Computing, 2023

Multimodal Emotion Recognition in Noisy Environment Based on Progressive Label Revision.

Sunan Li, Hailun Lian, Cheng Lu, Yan Zhao, Chuangao Tang, Yuan Zong, Wenming Zheng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Time-Frequency Transformer: A Novel Time Frequency Joint Learning Method for Speech Emotion Recognition.

Yong Wang, Cheng Lu, Yuan Zong, Hailun Lian, Yan Zhao, Sunan Li

Proceedings of the Neural Information Processing - 30th International Conference, 2023

Audio-Visual Group-based Emotion Recognition using Local and Global Feature Aggregation based Multi-Task Learning.

Sunan Li, Hailun Lian, Cheng Lu, Yan Zhao, Chuangao Tang, Yuan Zong, Wenming Zheng

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

Deep Implicit Distribution Alignment Networks for cross-Corpus Speech Emotion Recognition.

Yan Zhao, Jincen Wang, Yuan Zong, Wenming Zheng, Hailun Lian, Li Zhao

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Progressive distribution adapted neural networks for cross-corpus speech emotion recognition.

Yuan Zong, Hailun Lian, Jiacheng Zhang, Ercui Feng, Cheng Lu, Hongli Chang, Chuangao Tang

Frontiers Neurorobotics, September, 2022

Adapting Multiple Distributions for Bridging Emotions from Different Speech Corpora.

Yuan Zong, Hailun Lian, Hongli Chang, Cheng Lu, Chuangao Tang

Entropy, 2022

2019

Multimodal Voice Conversion Under Adverse Environment Using a Deep Convolutional Neural Network.

Jian Zhou, Yuting Hu, Hailun Lian, Huabin Wang, Liang Tao, Hon Keung Kwan

IEEE Access, 2019

Whisper to Normal Speech Conversion Using Sequence-to-Sequence Mapping Model With Auditory Attention.

Hailun Lian, Yuting Hu, Weiwei Yu, Jian Zhou, Wenming Zheng

IEEE Access, 2019

2018

Whisper to Normal Speech Based on Deep Neural Networks with MCC and F0 Features.

Hailun Lian, Yuting Hu, Jian Zhou, Huabin Wang, Liang Tao

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018