Instructions to use pyannote/speaker-diarization-community-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- pyannote.audio
How to use pyannote/speaker-diarization-community-1 with pyannote.audio:
from pyannote.audio import Pipeline pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization-community-1") # inference on the whole file pipeline("file.wav") # inference on an excerpt from pyannote.core import Segment excerpt = Segment(start=2.0, end=5.0) from pyannote.audio import Audio waveform, sample_rate = Audio().crop("file.wav", excerpt) pipeline({"waveform": waveform, "sample_rate": sample_rate}) - Notebooks
- Google Colab
- Kaggle
Request for access to the USI-FLFib ultrasound dataset
Hello RadioX Labs team,
I am Maryam Moghimi, a PhD student in Electronics Engineering working on medical image processing. I have submitted an access request for USI-FLFib.
I would like to use the dataset for non-commercial academic research on ultrasound-based assessment of hepatic steatosis and fibrosis, in line with the cc-by-nc-sa-4.0 license. I will cite the associated paper (Bose et al., "Deep learning for non-invasive detection of steatosis and fibrosis in MASLD: a multicenter study with a new fibroscan-labelled ultrasound dataset") and will not redistribute the data.
Could you please review my request when you have a chance? Thank you very much.
Best regards,
Maryam Moghimi
Hugging Face username: maryam6013