Me and my team are wondering if its possible to diarize multiple speakers through deepgram. We would like to transcribe a conversation between 6+ different persons.
#Is it possible for deepgram to diarize multiple (3+) speakers? If so, how accurate is it?
keen jolt
green gardenBOT
Hi @keen jolt. I'm kapa.ai, your friendly support bot. I will try to answer your question by searching through the knowledge base. :wave:
Yes, Deepgram's diarization feature can identify multiple speakers (3+) in audio content, including conversations with 6+ participants. The diarization feature works by separating an audio stream into segments according to speaker identity, labeling each word with a speaker number (e.g., speaker: 0, speaker: 1, etc.) regardless of which audio channel they're on.
Accuracy Considerations
The accuracy of diarization can vary based on several factors:
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Audio Quality: Lower quality audio (e.g., low frequency or bit rate) provides less information for the diarizer to work with, reducing accuracy Speaker diarization not working.
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Speaker Similarity: When speakers have similar vocal tones, the diarization may struggle to distinguish between them consistently Livestream Speaker Diarization not distinguishing different speakers consistently.
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Audio Format: In some cases, diarization may fail to distinguish among multiple speakers depending on audio properties Simple issue with diarization.
Alternatives for Better Accuracy
If you need more reliable speaker identification for multiple speakers, consider:
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Multichannel Audio: If possible, record each speaker on a separate audio channel. This provides perfect speaker segmentation since each speaker's audio is already isolated Multichannel vs Diarization.
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Beta Testing: Deepgram has mentioned a new live-streaming diarization model in development with a beta testing program Livestream Speaker Diarization not distinguishing different speakers consistently.
Note that diarization only provides numeric speaker labels (Speaker 0, Speaker 1, etc.) and doesn't identify speakers by name. You would need to do additional processing to associate speaker numbers with actual names Speaker diarization with speaker names.