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can it use as an "one-to-many" conversion model? I have few unpaired datasets, 1 hour for each, 1k+ sentences, SNR > 40dB. I want to know if I can make this project as an "one-to-many" or said one-vs-rest model?
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Hi, I didn't understand the "one-vs-rest model" you said.
Could you explain more about the "one-vs-rest model" you mean?
You can use this project as an "any-to-many" or "many-to-many" conversion model, which enables any speakers' voice as source audio.
However, you can only convert to speakers who are in the training dataset.
Hence, I think you can surely use this repository as a one-to-many conversion model with your dataset.
can it use as an "one-to-many" conversion model? I have few unpaired datasets, 1 hour for each, 1k+ sentences, SNR > 40dB. I want to know if I can make this project as an "one-to-many" or said one-vs-rest model?
The text was updated successfully, but these errors were encountered: