A deep-learning project that classifies the emotion label associated with a short speech recording. It uses Mel-Frequency Cepstral Coefficients (MFCCs) as audio features and an LSTM neural network for ...
Swap the label names on a typed decision model's definitions and it flips up to 77% of its answers with zero format errors.
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