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Hi. I'm interested in SpatialNet and thank you for providing the code.
I would like to implement the results from the SpatialNet paper using the CHiME3/4 dataset (Table X). However, it seems that the available dataloader only includes a dataset created with noise from CHiME3/4 (chime3_moving.py). Could you possibly provide a dataloader for the CHiME3/4 dataset?
The text was updated successfully, but these errors were encountered:
Sorry, we didn't provide this dataloader is because it relies on a script to create a version of training set (mixing noise and speech). But the script is lost... However, you can easily create a better implementation with dynamic mixing.
Hi. I'm interested in SpatialNet and thank you for providing the code.
I would like to implement the results from the SpatialNet paper using the CHiME3/4 dataset (Table X). However, it seems that the available dataloader only includes a dataset created with noise from CHiME3/4 (chime3_moving.py). Could you possibly provide a dataloader for the CHiME3/4 dataset?
The text was updated successfully, but these errors were encountered: