Fine tune of speaker embeddings model
# 🚀 Feature request

Provide a way to fine tune the X-vector speaker embeddings model using our own custom dataset. (https://huggingface.co/hbredin/SpeakerEmbedding-XVectorMFCC-VoxCeleb)

## Motivation

This will help in finetuning the model for new domain/speakers.


Hi! I think this is more of a question for `pyannote` rather than for `transformers`?<|||||>cc'ing @hbredin for visibility :)<|||||>Thanks @julien-c for the ping.

@karthikgali please open an issue or discussion in [pyannote.audio Github repo](https://github.com/pyannote/pyannote-audio) instead.<|||||>This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.

Please note that issues that do not follow the [contributing guidelines](https://github.com/huggingface/transformers/blob/master/CONTRIBUTING.md) are likely to be ignored.