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Speech Emotion Recognition under Resource Constraints with Data Distillation

Speech Emotion Recognition under Resource Constraints with Data Distillation

Speech emotion recognition (SER) plays a crucial role in human-computer interaction. The emergence of edge devices in the Internet of Things (IoT) presents challenges in constructing intricate deep learning models due to constraints in memory and computational resources. Moreover, emotional speech data often contains private information, raising concerns about privacy …