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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}}}