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Open-Emotion: A Reproducible EMO-Superb For Speech Emotion Recognition Systems
Speech emotion recognition (SER) is an essential technology for human-computer
interaction systems. However, the previous study reveals that 80.77% of SER papers yield …
interaction systems. However, the previous study reveals that 80.77% of SER papers yield …
Embracing Ambiguity And Subjectivity Using The All-Inclusive Aggregation Rule For Evaluating Multi-Label Speech Emotion Recognition Systems
Speech Emotion Recognition (SER) faces a distinct challenge compared to other speech-
related tasks because the annotations will show the subjective emotional perceptions of …
related tasks because the annotations will show the subjective emotional perceptions of …
Stimulus Modality Matters: Impact of Perceptual Evaluations from Different Modalities on Speech Emotion Recognition System Performance
Speech Emotion Recognition (SER) systems rely on speech input and emotional labels
annotated by humans. However, various emotion databases collect perceptional …
annotated by humans. However, various emotion databases collect perceptional …
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations
Y Hao, C Hu, Y Gao, S Zhang, J Feng - arxiv preprint arxiv:2406.18065, 2024 - arxiv.org
For speech classification tasks, deep learning models often achieve high accuracy but
exhibit shortcomings in calibration, manifesting as classifiers exhibiting overconfidence. The …
exhibit shortcomings in calibration, manifesting as classifiers exhibiting overconfidence. The …