facebookresearch / facebookresearch/AudioDec
Dataset partitions
- Dominant language
- Python
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Description
Hello,
I've seen there are VCTK model (48kHz) and LibriTTS model (24kHz), but I couldn't find what version of LibriTTS is actually used for training the model. However, I found this line:
https://github.com/facebookresearch/AudioDec/blob/main/config/autoencoder/symAD_libritts_24000_hop300.yaml#L17
I've seen similar nomenclatures for `train-clean-100.tar.gz + train-clean-360.tar.gz`. Is this the case?
Thanks,
Esteban
Contributor guide
Research direction
Start with config/autoencoder/symAD_libritts_24000_hop300.yaml at line 17 and trace the referenced LibriTTS training data. Compare the configured archive names with the LibriTTS partitions mentioned in the issue; done means confirming the dataset version and whether train-clean-100 and train-clean-360 are both used, then recording that clarification.
Written by the indexing model from the issue text.
Assessment
- Domain
- data, machine-learning
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 52/100