triplet_loss_kws
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roman-vygon
Learning Efficient Representations for Keyword Spotting with Triplet Loss
Could the pretrained weight be provided? thanks
After installing the required libraries. I have been trying to execute your pipeline. It is giving Segmentation fault (core dumped) every time. Can you pls share requirement.txt and also ideas...
Hi there, Thank you for the great repo! While installing the packages listed in the Readme file using CUDA, I came across some version conflicts and circular dependencies in packages...
Dear author, this google link seems invalid, can you just reshare the files 'convert_path_prefix.ipynb'? Thanks a lot!
Hi! First of all, thank you for open souring the code. I have tried to replicate the results and I have found a few issues during the training process. 1....
Torch autograd expects Variable with requires_grad set to True but doesn't find such Variables. Any idea as to how to get around this?
Dear authors With what parameters did you train Res8 with manifest 12? Could you provide the pre-trained model? It's missing in the run folder. Thank you for your help!
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Learning Efficient Representations for Keyword Spotting with Triplet Loss