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CNN+LSTM Architecture for Speech Emotion Recognition with Data Augmentation
Following the latest advances in audio analysis, we use an architecture involving both convolutional layers, for extracting high-level features from raw spectrograms, and recurrent ones for aggregating long-term dependencies.
Ranked #6 on
Speech Emotion Recognition
on IEMOCAP
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