HF Daily Papers
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AMRD: Adaptive Multi-Teacher Relational Distillation for Lightweight Speech Emotion Recognition
On-device speech emotion recognition (SER) is critical for real-time applications, yet large self-supervised models that excel at SER are too costly for edge devices. Multi-teacher knowledge distillation can compress them into a lightweight student, but two challenges remain: teacher reliability var