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Found 5 papers, 2 papers with code
Consistency Based Unsupervised Self-training For ASR Personalisation
On-device Automatic Speech Recognition (ASR) models trained on speech data of a large population might underperform for individuals unseen during training.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Is Cross-Attention Preferable to Self-Attention for Multi-Modal Emotion Recognition?
Generally, models that fuse complementary information from multiple modalities outperform their uni-modal counterparts.
Cross-Modal Knowledge Transfer via Inter-Modal Translation and Alignment for Affect Recognition
For this reason, we aim to improve the performance of uni-modal affect recognition models by transferring knowledge from a better-performing (or stronger) modality to a weaker modality during training.
Robust Latent Representations via Cross-Modal Translation and Alignment
The proposed multi-modal training framework uses cross-modal translation and correlation-based latent space alignment to improve the representations of the weaker modalities.
ConflictNET: End-to-End Learning for Speech-based Conflict Intensity Estimation
Computational paralinguistics aims to infer human emotions, personality traits and behavioural patterns from speech signals.
