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simple_diarizer

Open In Colab

Simplified diarization pipeline using some pretrained models.

Made to be a simple as possible to go from an input audio file to diarized segments.

import soundfile as sf
import matplotlib.pyplot as plt

from simple_diarizer.diarizer import Diarizer
from simple_diarizer.utils import combined_waveplot

diar = Diarizer(
                  embed_model='xvec', # 'xvec' and 'ecapa' supported
                  cluster_method='sc' # 'ahc' and 'sc' supported
               )

segments = diar.diarize(WAV_FILE, num_speakers=NUM_SPEAKERS)

signal, fs = sf.read(WAV_FILE)
combined_waveplot(signal, fs, segments)
plt.show()
<p align="center"> <img src="media/diarized_waveplot.png?raw=true"> </p>

Install

Simplified diarization is available on PyPI:

pip install simple-diarizer

Source Video

"Some Quick Advice from Barack Obama!"

YouTube Thumbnail

Pre-trained Models

The following pretrained models are used:

Demo

Open In Colab

It can be checked out in the above link, where it will try and diarize any input YouTube URL.

Other References

Planned Features