This project develops a neural network that transforms a low-resolution digit image (28×28) from the MNIST/EMNIST dataset into a high-resolution spectrogram (1008×1008) that encodes the harmonic ...
Training process: Batches of (text, audio, speaker_id, emotion) pairs are loaded The model generates mel spectrograms from the inputs Loss is computed by comparing to ground truth spectrograms Model ...
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