Comments (4)
Hi there, please have a look at the src/datasets.py
file. You'd need to create a new subclass of SpeakerDataset
and implement the 3 abstract methods get_speakers_utterances
, get_sample
and get_path
. You can then use your new custom class in place of LibriSpeechDataset
and VCTKDataset
.
Let me know if you have any other questions. Thanks,
Alessio.
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Hi there,
I just pushed a commit to the repo that contains an implementation of VoxCeleb1 and VoxCeleb2. The first version of VoxCeleb is included in the latest release of torchaudio
(0.13.0
), hence it was straightforward to implement. Instead, VoxCeleb2 is still not supported by torchaudio
, so I wrote the implementation from scratch. I haven't tested it throughly, but I hope it can help you move ahead with your experiments. At least it should give you an idea on how to work with non-torchaudio datasets.
Let me know if you're able to try out the new datasets and, if so, whether you spot any bugs.
Thanks,
Alessio.
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Related Issues (7)
- ValueError During Training Process HOT 3
- weights HOT 1
- training HOT 3
- voxceleb dataset HOT 1
- How to train on a custom dataset? HOT 1
- titanet.ipynb: session crashed for an unknown reason HOT 1
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