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Hello, we've experimented with two methods:
- Use one-hot singer embedding as the start token, and the vocal identity can be controlled.
- Use all-zero vector as the start token, the output singer will be randomly selected from the training data.
Both methods generate vocal identity within the training data.
Referencing by a sample voice is something we'd like to try but haven't try yet, thank you for your question!
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