Shaokai Li
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View article: Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation Network
Multi-modal Speech Emotion Recognition via Feature Distribution Adaptation Network Open
In this paper, we propose a novel deep inductive transfer learning framework, named feature distribution adaptation network, to tackle the challenging multi-modal speech emotion recognition problem. Our method aims to use deep transfer lea…
View article: Enhancing Emotion Recognition in Incomplete Data: A Novel Cross-Modal Alignment, Reconstruction, and Refinement Framework
Enhancing Emotion Recognition in Incomplete Data: A Novel Cross-Modal Alignment, Reconstruction, and Refinement Framework Open
Multimodal emotion recognition systems rely heavily on the full availability of modalities, suffering significant performance declines when modal data is incomplete. To tackle this issue, we present the Cross-Modal Alignment, Reconstructio…
View article: A novel Adaptive Weighted Transfer Subspace Learning Method for Cross-Database Speech Emotion Recognition
A novel Adaptive Weighted Transfer Subspace Learning Method for Cross-Database Speech Emotion Recognition Open
In this letter, we present an adaptive weighted transfer subspace learning (AWTSL) method for cross-database speech emotion recognition (SER), which can efficiently eliminate the discrepancy between source and target databases. Specificall…
View article: A Novel Discriminative Virtual Label Regression Method for Unsupervised Feature Selection
A Novel Discriminative Virtual Label Regression Method for Unsupervised Feature Selection Open
Unsupervised Feature selection is an important dimensionality reduction technique to cope with high-dimensional data. It does not require prior label information, and has recently attracted much attention. However, it cannot fully utilize …