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12 changes: 7 additions & 5 deletions fern/customization/voice-pipeline-configuration.mdx
Original file line number Diff line number Diff line change
Expand Up @@ -205,7 +205,7 @@ Uses AI models to analyze speech patterns, context, and audio cues to predict wh

### Deepgram Flux configuration

Deepgram Flux's end-of-turn detection is configured at the transcriber level, allowing you to fine-tune how aggressive or conservative the bot should be in detecting when users finish speaking.
Deepgram Flux's end-of-turn detection is configured at the transcriber level, allowing you to fine-tune how aggressive or conservative the bot should be in detecting when users finish speaking. Do NOT set a `smartEndpointingPlan` to leverage Deepgram's end-of-turn events.

**Configuration parameters:**

Expand All @@ -224,7 +224,8 @@ Deepgram Flux's end-of-turn detection is configured at the transcriber level, al
```json
{
"transcriber": {
"provider": "flux-general-en",
"provider": "deepgram",
"model": "flux-general-en",
"language": "en",
"eotThreshold": 0.7,
"eotTimeoutMs": 5000
Expand Down Expand Up @@ -669,15 +670,16 @@ User Interrupts → Assistant Audio Stopped → backoffSeconds Blocks All Output
```json
{
"transcriber": {
"provider": "flux-general-en",
"provider": "deepgram",
"model": "flux-general-en",
"language": "en",
"eotThreshold": 0.7,
"eotTimeoutMs": 5000,
"eotTimeoutMs": 5000
},
"stopSpeakingPlan": {
"numWords": 2,
"voiceSeconds": 0.2,
"backoffSeconds": 1.0
"backoffSeconds": 1.0,
"acknowledgementPhrases": [
"okay",
"right",
Expand Down
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