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• Multi-task Learning for Speech Emotion Recognition in Naturalistic Conditions

  Speech Emotion Recognition (SER) is a crucial task in human-computer interaction, enabling applications such as mental health monitoring, affective computing, and customer service automation.

• Clustering-based Hard Negative Sampling for Supervised Contrastive Speaker Verification

  In speaker verification, contrastive learning is gaining popularity as an alternative to the traditionally used classification-based approaches.

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