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What's performance difference between "base" and other configs? Can I get results with bigvsan_base_22khz_80band.json like you provide with bigvsan_24khz_100band.json?
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To be honest, we've never trained a model with base configs. We just inherited some config files from the BigVGAN repository (BigVGAN is the model that our BigVSAN is based on).
I believe that, even if we train a BigVSAN model with a base config, it will outperform its BigVGAN counterpart. But, from our experiences, BigVGAN and BigVSAN are data-hungry. If a dataset is not so large, a result might be unsatisfactory.
What's performance difference between "base" and other configs? Can I get results with bigvsan_base_22khz_80band.json like you provide with bigvsan_24khz_100band.json?
The text was updated successfully, but these errors were encountered: