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qpnet's Issues

pretrained model

I failed to achieve the results in the paper when I trained the model myself. Can you provide a trained model?

UnicodeDecodeError: 'utf-8' codec can't decode byte 0x89 in position 0: invalid start byte

Hello

First of all, thank you for sharing this project.
I would like to evaluate the performance of the vocoder by running one of your pre-trained model. However, after extracting the features of a test file with runFE script, it get an error when trying to read the generated files in qpnet_decode.py

The call to qpnet_decode is as follows :

python ./bin/qpnet_decode.py 
--feats /home/Julien/QPNet-master/QPNet-master/h5/33.h5 
--stats /home/Julien/QPNet-master/QPNet-master/corpus/VCC2018/stats/list_stats.h5 
--config /home/Julien/QPNet-master/QPNet-master/qpnet_models/Avcc18tr_Wvcc18tr_d8/model.conf 
--outdir /home/Julien/QPNet-master/QPNet-master/qpnet_output/feat_id.wav 
--checkpoint /home/Julien/QPNet-master/QPNet-master/qpnet_models/Avcc18tr_Wvcc18tr_d8//checkpoint-final.pkl 
--fs 22050 --batch_size 1 --extra_memory False --seed 100 --n_gpus 2 --f0_factor 1.0 --f0_dim_index 1

As input, I use a 22050Hz wav file (33.wav) and I generated the feats and stats using step 2 and 3 of runFE.py

The complete error message is :

Traceback (most recent call last):
  File "./bin/qpnet_decode.py", line 335, in <module>
    main()
  File "./bin/qpnet_decode.py", line 252, in main
    feat_list = read_txt(args.feats)
  File "/home/Julien/QPNet-master/QPNet-master/src/utils/utils.py", line 161, in read_txt
    filenames = f.readlines()
  File "/home/Julien/miniconda3/envs/venvQPNet/lib/python3.6/codecs.py", line 321, in decode
    (result, consumed) = self._buffer_decode(data, self.errors, final)
UnicodeDecodeError: 'utf-8' codec can't decode byte 0x89 in position 0: invalid start byte

Could you please help me with this ? I guess I might be doing this the wrong way but I don't know how else I can simply extract the features of a test file and try out a model with it

Thanks again for sharing this and for your time

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