A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
I ran Speaker_Diarization_Inference.ipynb notebook for getting diarization results on my audio data using the pretrained model. But as my data is quite noisy, the diarization results are not at as expected. Is there any way I can finetune the diarization module for my data?
If you can provide a notebook for finetuning the model, it would be really helpful.
I ran Speaker_Diarization_Inference.ipynb notebook for getting diarization results on my audio data using the pretrained model. But as my data is quite noisy, the diarization results are not at as expected. Is there any way I can finetune the diarization module for my data? If you can provide a notebook for finetuning the model, it would be really helpful.