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I was looking at the official dataset code from the Auditory EEG Decoding challenge. They seem to be implementing a sliding window. I needed clarity whether you guys are implementing sliding window elsewhere, cause I didn't find it in the dataset.py.
I would really appreciate any help, as I am trying to run the code in PyTorch
The text was updated successfully, but these errors were encountered:
Unlike conventional training code, our approach omits the use of a sliding window.
During training, we employed 5-second signal segments for stability, randomly cropped from each EEG/speech envelope segment. In the inference phase, input signals are partitioned into multiple 5-second segments, and the outputs are concatenated to form the complete envelope.
Thank you very much, that was actually very helpful. But could you elaborate what is happening in _train_data() in dataset.py?
I am getting confused what is the need for randint.
I was looking at the official dataset code from the Auditory EEG Decoding challenge. They seem to be implementing a sliding window. I needed clarity whether you guys are implementing sliding window elsewhere, cause I didn't find it in the
dataset.py
.I would really appreciate any help, as I am trying to run the code in PyTorch
The text was updated successfully, but these errors were encountered: