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Overview of the DenseNet network structure. Input samples are preprocessed features of the neural signal with the shape 8 × 8 × 9. The first two dimensions are used for the spatial alignment of the electrodes, while the third dimension comprises the temporal dynamics. The network architecture consists of three Dense Blocks to map the neural features onto the speech spectrogram.
