Using MSDD model with a different speaker embedding model
It would still work to a certain degree without re-training, but you will get much better result if you retrain a new model.
Not only MSDD model, optimizing the clustering algorithm on the scale length and scale weights on the new embedding  would also affect a lot on the performance. This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.
Hello, is it possible to replace the TitaNet embedding model that is used along with MSDD? and if yes, does that require retraining?
I want to construct a pipeline with a different VAD and embedding model but still use the MSDD model