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README.md
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### Getting Diarization Results
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To perform speaker diarization and get a list of speaker-marked speech segments in the format 'begin_seconds, end_seconds, speaker_index', simply use:
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```
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predicted_segments = diar_model.diarize(audio=audio_input, batch_size=1)
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```
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To obtain tensors of speaker activity probabilities, use:
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```
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predicted_segments, predicted_probs = diar_model.diarize(audio=audio_input, batch_size=1, include_tensor_outputs=True)
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```
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### Getting Diarization Results
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To perform speaker diarization and get a list of speaker-marked speech segments in the format 'begin_seconds, end_seconds, speaker_index', simply use:
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```python3
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predicted_segments = diar_model.diarize(audio=audio_input, batch_size=1)
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```
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To obtain tensors of speaker activity probabilities, use:
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```python3
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predicted_segments, predicted_probs = diar_model.diarize(audio=audio_input, batch_size=1, include_tensor_outputs=True)
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```
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