Getting different speaker embeddings from same wav file on different machine about resemblyzer

[CorentinJ]

You can expect variations in float precision for torch operations depending on the environment they are running on. These variations are usually no higher than 1e-06. As far as I know, there is no foolproof way to solve this problem without disabling pytorch optimizations.

You can safely round the embedding down to 5 decimal places, or assume that you will have small floating point errors in your computations and adapt your code in this regard. Numpy and torch have an all_close method that might be helpful.

[predawnang]

Thank you for your reply, it's helpful.