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I tried training it from scratch on a lot of data but what I'm seeing is the effect is very light/subtle. Is there a way to make it more pronounced/obvious?
The text was updated successfully, but these errors were encountered:
Since I don't know your specific situation, it's hard for me to give a conclusion. However, if the quality is very unsatisfactory, please first check whether the training data quality is too poor or the quantity is too small. Then check whether the vocal range is appropriate during inference, that is, whether the key-change value is set reasonably. Finally, try to use the latest version of the model when training, such as the 6.1 branch currently being tested.
Hello,
I tried training it from scratch on a lot of data but what I'm seeing is the effect is very light/subtle. Is there a way to make it more pronounced/obvious?
The text was updated successfully, but these errors were encountered: