Comments (4)
It may be a good idea to monitor your training process and spot the bottleneck.
from deep-clustering.
my epoch is for all the data, 20000 utts
from deep-clustering.
Sorry, I don't understand what is your means? Could you tell more specific. Thanks very much!
from deep-clustering.
hi,
thanks very much for your project about the deep-clustering. I use your program to train my model use the WSJ0 in the paper, but the process is too slow. About 7 days the epoch is about 35, and i use 4 GPUs. Do you have this problems? Thanks very much!
hi,can you give me a small part of WSJ0 dataset, or give me a link? I cannot find it on the internet
from deep-clustering.
Related Issues (20)
- Won't respond to issues that are too simple
- How many Epoch would it take for TIMIT dataset approximately? HOT 1
- Folder 'dcdata' HOT 11
- Mistake in visualization_of_samples.py HOT 3
- DataSet HOT 3
- valueError
- how can i fix the following errors? -- audio_test.py HOT 5
- the seperated speech can't play HOT 38
- I get a vary high loss HOT 25
- Question about cluster permutation HOT 2
- Preprocessing of Dataset to feed into BLSTM HOT 2
- Scaling in STFT HOT 4
- Could you provide a pre-trained model for testing? HOT 2
- about the result
- Model fails to separate sources HOT 1
- How can I fix the following errors? - audio_test.py
- How can I fix the following errors? - audio_test.py
- Model correctly separates sources at any given time but mixes up speakers over utterance HOT 4
- Where are the pkl_list defined in the train_net.py? HOT 1
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from deep-clustering.