Turn-based Audio (Flux)
Turn-based Audio (Flux)
Real-time conversational speech recognition with contextual turn detection for natural voice conversations
Turn-based Audio (Flux)
Real-time conversational speech recognition with contextual turn detection for natural voice conversations
Use Authorization: Token <API_KEY>
Example: Authorization: Token 12345abcdef
Use Authorization: Bearer <JWT>
Example: Authorization: Bearer eyJhbGciOiJ...
Encoding of the audio stream. Required if sending non-containerized/raw audio. If sending containerized audio, this parameter should be omitted.
Sample rate of the audio stream in Hz. Required if sending non-containerized/raw audio. If sending containerized audio, this parameter should be omitted.
End-of-turn confidence required to fire an eager end-of-turn event.
When set, enables EagerEndOfTurn and TurnResumed events. Valid
Values 0.3 - 0.9.
End-of-turn confidence required to finish a turn. Valid Values 0.5 - 0.9.
Language hints constrain and prioritize language detection for the flux-general-multi model. Pass multiple language_hint query parameters to specify multiple language codes. Empty values are rejected. Only valid when model is flux-general-multi.
Profanity Filter looks for recognized profanity and converts it to the nearest recognized non-profane word or removes it from the transcript completely.
Sent when a Configure message was successfully applied. Returns the current, up-to-date values that were applied.
Use your API key or a temporary token for authentication via the Authorization header. In client-side environments where custom headers are not supported, use the Sec-WebSocket-Protocol header instead.
Example: Authorization: Token %DEEPGRAM_API_KEY% or Authorization: Bearer %DEEPGRAM_TOKEN%
Opts out requests from the Deepgram Model Improvement Program. Refer to our Docs for pricing impacts before setting this to true. https://dpgr.am/deepgram-mip