How to use ishtiakmoin/diarization_filtered_v2 with pyannote.audio:
from pyannote.audio import Model, Inference model = Model.from_pretrained("ishtiakmoin/diarization_filtered_v2") inference = Inference(model) # inference on the whole file inference("file.wav") # inference on an excerpt from pyannote.core import Segment excerpt = Segment(start=2.0, end=5.0) inference.crop("file.wav", excerpt)
This is a fine-tuned speaker diarization model based on pyannote.audio, specifically trained on Bengali audio data.
from pyannote.audio import Model, Inference model = Model.from_pretrained("ishtiakmoin/diarization_filtered_v2") inference = Inference(model) # inference on the whole file inference("file.wav") # inference on an excerpt from pyannote.core import Segment excerpt = Segment(start=2.0, end=5.0) inference.crop("file.wav", excerpt)