Hailun Lian

Orcid: 0000-0002-1355-9503

According to our database¹, Hailun Lian authored at least 20 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

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

[BibT_eX]

[DOI]

IEEE Trans. Comput. Soc. Syst., August, 2024

Exploring corpus-invariant emotional acoustic feature for cross-corpus speech emotion recognition.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2024

Temporal Label Hierachical Network for Compound Emotion Recognition.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Improving Speaker-Independent Speech Emotion Recognition using Dynamic Joint Distribution Adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Entropy, October, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Learning Local to Global Feature Aggregation for Speech Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

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

[BibT_eX]

[DOI]

Frontiers Neurorobotics, September, 2022

Adapting Multiple Distributions for Bridging Emotions from Different Speech Corpora.

[BibT_eX]

[DOI]

Entropy, 2022

2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

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

[BibT_eX]

[DOI]

IEEE Access, 2019

2018

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

[BibT_eX]

[DOI]

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

Hailun Lian

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