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Real-time Speech Emotion Recognition Based on Syllable-Level Feature Extraction
A set of syllable-level formant features is extracted and fed into a single hidden layer neural network that makes predictions for each syllable as opposed to the conventional approach of using a sophisticated deep learner to make sentence-wide predictions.
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