Advanced feature selection and temporal attention mechanisms with Bi-LSTM classifier for optimizing emotion recognition in Kashmiri speech.

The heatmap reveals that the majority of pairwise feature comparisons yielded highly significant differences ( p < 0.001), emphasizing that each feature combination introduces distinctive acoustic information rather than redundant patterns.

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