p
smart-turn-v2
Voice Activity Detection • pipecat-aiAn open source, community-driven, native audio turn detection model in 2nd version
| Model Info | |
|---|---|
| Batch | Yes |
| Unit Pricing | $0.00034 per audio minute |
Parameters
* indicates a required field
Input
-
0object-
audioobject requiredreadable stream with audio data and content-type specified for that data
-
bodyobject required -
contentTypestring required
-
-
dtypestringtype of data PCM data that's sent to the inference server as raw array
-
-
1object-
audiostring requiredbase64 encoded audio data
-
dtypestringtype of data PCM data that's sent to the inference server as raw array
-
Output
-
is_completebooleanif true, end-of-turn was detected
-
probabilitynumberprobability of the end-of-turn detection
API Schemas
The following schemas are based on JSON Schema
{ "type": "object", "oneOf": [ { "properties": { "audio": { "type": "object", "description": "readable stream with audio data and content-type specified for that data", "properties": { "body": { "type": "object" }, "contentType": { "type": "string" } }, "required": [ "body", "contentType" ] }, "dtype": { "type": "string", "description": "type of data PCM data that's sent to the inference server as raw array", "enum": [ "uint8", "float32", "float64" ] } }, "required": [ "audio" ] }, { "properties": { "audio": { "type": "string", "description": "base64 encoded audio data" }, "dtype": { "type": "string", "description": "type of data PCM data that's sent to the inference server as raw array", "enum": [ "uint8", "float32", "float64" ] } }, "required": [ "audio" ] } ]}{ "type": "object", "contentType": "application/json", "properties": { "is_complete": { "type": "boolean", "description": "if true, end-of-turn was detected" }, "probability": { "type": "number", "description": "probability of the end-of-turn detection" } }}Was this helpful?
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