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I think you can initialize a model with few speakers and then just transfer weights to this model from the single speaker model. |
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Before I begin, I want to say a big thank you for all your amazing work!
I'm currently using a checkpoint to successfully fine-tune a single speaker's voice. However, I encounter an issue when attempting to do the same for multiple speakers. It leads to the training process start for begin and the loss of the checkpoint I'm using.
I'm wondering if it's possible to employ a checkpoint model for fine-tuning with multiple speakers. Currently, I'm forced to fine-tune each speaker individually, which consumes a significant amount of time and storage space and a lot files models. It would be far more convenient to have a single model that can accommodate the speakers I need.
Thank you ,
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