Comments (4)
The MOS scores in the NISQA Corpus are subjective MOS values. Please also see the Wiki for more info, such as the number of ratings per file: https://github.com/gabrielmittag/NISQA/wiki/NISQA-Corpus
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Thank you for your response. Another question I have is: Can the NISQA model be trained and used for objective MOS prediction?
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Yes, that's exactly what it is trained for. Please check the Readme for more information
from nisqa.
thanks
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Related Issues (20)
- Continuous metrics? HOT 4
- TTS naturalness prediction based on which model
- Full Reference or No Reference When Subjectively Rating a Speech HOT 1
- upper bound and larger bound inconsistent with step sign HOT 1
- Audio input requirements HOT 2
- pip package HOT 4
- CDUA device does not load the model HOT 2
- Interpertation of Different metrics HOT 1
- The predict result seems not reliable HOT 3
- License
- upper bound and larger bound inconsistent with step sign
- It seams slowly because of some functions running on CPU
- max window length error for most audio files HOT 1
- Utilizing finetuned weights
- mos_pred预测分数有些奇怪
- MOS prediction during runtime
- Error in loading the files using the folder name
- Why the CUDA is getting out of memory
- question about MOS_pred of synthetic speech
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