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Thunfischpirat / SpokenDigits

This is our submission for the final graded project for the WS22/23 course "Neural Networks: Theory and Implementation" at Saarland University.
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Implement functionality for solving task III.1 #19

Closed Thunfischpirat closed 1 year ago

Thunfischpirat commented 1 year ago

Enable neural network models to be trained on a subset of data coming from one or more specific speakers. To this end, modify the code in model_neural.utils.data_loading to accommodate this functionality.

Thunfischpirat commented 1 year ago

I had to adapt Conv1dModel to make the size of the last pooling layer adaptable. Otherwise, applying pooling with window size 4 in a reduction in output length through the network layers below four before the previous max pooling layer is applied. This then causes an error.