noise_cancellation cleans the
audio coming in from the caller, and background_audio mixes sound into what the agent
sends out. Voice and video only; a text agent has neither.
Noise cancellation
Speech enhancement at the front of the input chain: speech-to-text, the voice-activity detector and the call recording all get the cleaned signal.
Choosing a model:
quail_vf_s and quail_vf_l (Voice Focus) isolate the one person
talking and suppress other voices; quail_vf_l costs much more CPU with no documented
accuracy gain. quail_l keeps every voice and removes only noise — use it when more than
one person should be heard (a speakerphone).
If the key is rejected or the enhancer cannot handle the stream, it disables itself and the
call continues on raw audio. The call’s trace then carries a noise_cancellation.failed
event — see debugging agents.
Background audio
Ambient and “thinking” sounds mixed into the agent’s output.
During a transfer the ambient bed stops and hold music plays while
the other phone rings, whatever
ambient is. Hold music plays at 0.8, or at
ambient_volume if the agent’s ambient is already hold_music. If the transfer fails and
the caller returns, the ambient bed resumes.
Next
Speech and turn detection
What the cleaned audio feeds.
Provider keys
Adding the ai-coustics key.