Can we get transformers doing diarisation
Can we create synthetic combinations of tts datasets to experiment with diarisation difficulty.
- Will this help generalise to different domains.
What happens as we increase the difficult of the data with interrupts, noise, number of speakers, loudness of speakers.
What if we were to speed up the audio (Just for compute efficiency, or slow it down. How would this affect the results?
