how to use diarize with deepgram
# ask-ai
m
how to use diarize with deepgram
t
Thanks for reaching out, Usama. I'm an AI assistant and I'm here to help. Give me a moment while I research this topic.
To enable diarization with Deepgram in LiveKit, you can set the
diarize
property in the STT options: For Node.js:
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const stt = new STT({
    diarize: true,  // Enable speaker diarization
    // Other options...
});
For Python:
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from livekit.plugins import deepgram

deepgram_stt = deepgram.STT(
    diarize=True,  # Enable speaker diarization
    # Other options...
)
If you need further details about model compatibility or processing diarization results, let me know! Sources: STTOptions | LiveKit Agents
m
how to know which speaker will be speaking and let me know about model compatibility
t
Here’s a friendly guide to help you identify which speaker is talking using Deepgram diarization in LiveKit: 1. Enable Diarization: Start by setting up the Deepgram STT plugin with
diarize: true
to turn on speaker diarization. 2. Handle Speaker Events: Listen for transcription events and check out the
speaker_id
property—it tells you who’s speaking. For example: `session.on("user_input_transcribed", (event) => { console.log(
Speaker ${event.speaker_id}: ${event.transcript}
); });` 3. Track Active Speakers: You can also keep an eye on who’s speaking using LiveKit’s active speaker detection with the
Room
and
Participant
objects. `room.on(RoomEvent.ActiveSpeakersChanged, (speakers) => { // Handle active speaker changes }); participant.on(ParticipantEvent.IsSpeakingChanged, (isSpeaking) => { if (isSpeaking) { console.log(
${participant.identity} is now speaking
); } else { console.log(
${participant.identity} stopped speaking
); } });` 4. Map Speaker IDs: Use the
speaker_id
from those transcription events to connect the dots—link speakers to participants or follow the flow of the conversation. About model compatibility: the docs don’t clearly say which Deepgram models support diarization. Just make sure your Deepgram API key is set up right and that diarization is part of your plan. If you want, I’m here to help you sort it out!
m
deepgram.stt has no parameter diarize
t
Hey there! Just wanted to let you know that the
diarize
parameter is available in the LiveKit Deepgram STT integration. It helps you turn speaker diarization on or off in your transcription results, making it easier to tell who's speaking. Example Usage:
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const stt = new DeepgramSTT({
  apiKey: 'YOUR_API_KEY',
  diarize: true,  // Enable speaker diarization
  language: 'en-US'
});
If you run into any trouble with this parameter, double-check that your Deepgram API key is set up correctly and that diarization is included in your plan. And of course, feel free to reach out if you need a hand—I’m here to help! Sources: STTOptions | LiveKit Agents | plugins/deepgram/src/stt.ts | livekit-plugins/livekit-plugins-speechmatics/livekit/plugins/speechmatics/t...
m
it is available in STTOptions. How to change STTOptions of stt
t
Hey there! If you want to change the
STTOptions
for Deepgram STT in LiveKit, you’ve got two easy ways to do it—either when you’re setting things up or on the fly: 1. During Initialization:
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const stt = new STT({
  model: 'nova-2-general',
  language: 'en-US',
  diarize: true,  // Enable diarization
  // Other options...
});
2. Updating Options Dynamically:
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stt.updateOptions({
  model: 'nova-3-general', // Change the model
  language: 'es-ES',      // Change the language
  diarize: true           // Enable diarization
});
Just a heads-up—make sure the options you pick work well with the Deepgram models you’re using. If you have any questions or want a hand with this, feel free to ask. I’m here to help!
m
that is only available in agents-js. i want python implementation
t
I don't have the answer you're looking for. You could also try asking your question: • in one of the other Slack channels or • to https://deepwiki.com/livekit/livekit_composite which is trained on all LiveKit source code If you find the answer, please post it here to help others!
m
room.on(RoomEvent.ActiveSpeakersChanged, (speakers) => {
// Handle active speaker changes
});
participant.on(ParticipantEvent.IsSpeakingChanged, (isSpeaking) => {
if (isSpeaking) {
`console.log(
${participant.identity} is now speaking
);`
} else {
`console.log(
${participant.identity} stopped speaking
);`
}
});
give me python implementation for this and relevant imports