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collectiveai-team / speaker-diarization-3
Segments an audio recording based on who is speaking
Input
Output
segments
stop
0:00:06.629881
start
0:00:00.008489
speaker
A
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speaker
A
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start
0:00:08.616299
speaker
A
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speaker
A
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speaker
A
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start
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speaker
A
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start
0:00:22.300509
speaker
B
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0:00:32.555178
start
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speaker
A
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0:00:32.691002
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0:00:32.589134
speaker
A
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0:00:32.724958
speaker
A
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0:00:47.292020
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0:00:44.371817
speaker
A
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speaker
A
stop
0:00:56.884550
start
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speaker
B
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speaker
A
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speaker
A
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speaker
A
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A
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speaker
A
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speaker
B
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A
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speaker
B
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speaker
B
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0:03:12.962649
speaker
A
speakers
{
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"labels": [
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],
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"B": []
}
}
Generated in
This output was created using a different version of the model, collectiveai-team/speaker-diarization-3:bb2f3320.
Run time and cost
This model costs approximately $0.22 to run on Replicate, or 4 runs per $1, but this varies depending on your inputs. It is also open source and you can run it on your own computer with Docker.
This model runs on Nvidia L40S GPU hardware. Predictions typically complete within 4 minutes. The predict time for this model varies significantly based on the inputs.