Fabio
c36510c21e
1.6 KiB
Smart Turn v3.2
Smart Turn estimates whether a speaker has finished a conversational turn. It uses the most recent eight seconds of 16 kHz mono audio, left-padding shorter recordings with silence. The output is a completion probability and a Boolean decision, not speech segments or a transcript.
The model uses the official Smart Turn v3.2 checkpoint. Only the F32 GGUF is provided; no quantized variants are packaged.
CLI
audiocpp_cli --task turn --family smart_turn \
--model /path/to/smart-turn-v3.2-f32.gguf \
--backend cpu --audio input.wav --log
The CLI prints a custom_schema_output JSON object with schema smart_turn.v1 and
data.complete / data.probability. The decision is complete when the
probability is strictly greater than the threshold.
Options
Request Options (--request-option)
| Name | Values | Default | Description |
|---|---|---|---|
threshold |
0 to 1 | 0.5 |
Completion probability threshold. |
Server
Configure a model with family: "smart_turn", task: "turn", and
mode: "offline". Use /v1/tasks/run to obtain custom_schema_output.data.complete
and custom_schema_output.data.probability. The input must be 16 kHz mono audio.
curl http://127.0.0.1:8080/v1/tasks/run \
-H 'Content-Type: application/json' \
-d '{"model":"smart-turn","request":{"audio":"input.wav","options":{"threshold":"0.5"}}}'
The response includes custom_schema_output in this shape:
{"custom_schema_output":{"schema":"smart_turn.v1","data":{"complete":true,"probability":0.57}}}