Acoustic and emotion embeddings reduce EER for vocal expression detection by 60% and 30% relative to bag-of-words and acoustic baselines.
After grading, the data was filtered to remove cases where all four graders were Not Sure in their decision, which resulted in 70 hours of data that was used in our experiments
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Leveraging Acoustic Cues and Paralinguistic Embeddings to Detect Expression from Voice
Acoustic and emotion embeddings reduce EER for vocal expression detection by 60% and 30% relative to bag-of-words and acoustic baselines.