Speaker Diarization
Detect speakers and understand who said what.
Speaker diarization is the process of detecting multiple speakers in an audio, and understanding which parts of the transcription each speaker said.
Enabling diarization
Diarization is enabled by sending the diarization parameter in the transcription request:
Enabling enhanced diarization (beta)
This feature is in a Beta state.
Breaking changes may still be introduced to this API, but an advanced notice will be sent.
We’re looking for feedback to improve this feature, share yours here.
For improved diarization handling edge cases and challenging audio, you can enable enhanced diarization by using the diarization_enhanced parameter.
Response
When diarization or diarization_enhanced is enabled, each utterance will contain a speaker field, whose value is an index representing the speaker.
Speakers will be assigned indexes by order of appearance (i.e. the 1st speaker will be speaker 0, the 2nd speaker 1, etc).
Improving diarization accuracy
diarization model. diarization_enhanced does not support those yet. You can improve the accuracy of the diarization by providing the model with hints regarding the expected number or lower/upper bounds ofspeakers using the diarization_config.num_of_speakers, diarization_config.min_speakers and diarization_config.max_speakers parameters respectively.
Important: These parameters are hints, not hard constraints. The actual number of speakers detected by the model may not comply with the provided parameters.
| Key | Type | Description |
|---|---|---|
diarization_config.number_of_speakers | number | Guiding number of speakers - instructs the model to detect an exact number of speakers in the audio. |
diarization_config.min_speakers | number | Instructs the model to detect no less than this number of speakers in the audio. |
diarization_config.max_speakers | number | Causes the model to detect no more than this number of speakers in the audio. |
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