docs(ML-93): answering machine detection for live STT

api-reference/v2/live/callback/answering-machine.mdx

@@ -0,0 +1,5 @@
+---
+title: Answering Machine
+description: Payload definition for the callback event `live.answering_machine`.
+openapi-schema: CallbackLiveAnsweringMachineMessage
+---

asyncapi.yaml

@@ -32,6 +32,8 @@ channels:
         $ref: "#/components/messages/speechStart"
       speechEnd:
         $ref: "#/components/messages/speechEnd"
+      answeringMachine:
+        $ref: "#/components/messages/answeringMachine"
       translation:
         $ref: "#/components/messages/translation"
       namedEntityRecognition:
@@ -103,6 +105,12 @@ operations:
       $ref: "#/channels/liveTranscription"
     messages:
       - $ref: "#/channels/liveTranscription/messages/speechEnd"
+  onAnsweringMachine:
+    action: send
+    channel:
+      $ref: "#/channels/liveTranscription"
+    messages:
+      - $ref: "#/channels/liveTranscription/messages/answeringMachine"
   onTranslation:
     action: send
     channel:
@@ -259,6 +267,13 @@ components:
       summary: Indicates the end of detected speech activity.
       payload:
         $ref: "#/components/schemas/SpeechEventMessageEnd"
+    answeringMachine:
+      name: answering_machine
+      title: Answering Machine
+      contentType: application/json
+      summary: Reports whether the callee is a human or an answering machine.
+      payload:
+        $ref: "#/components/schemas/AnsweringMachineMessage"
     translation:
       name: translation
       title: Translation
@@ -595,6 +610,63 @@ components:
             time: 1.24
             channel: 0
 
+    AnsweringMachineMessage:
+      title: Answering Machine
+      type: object
+      required: [session_id, created_at, type, data]
+      properties:
+        session_id: { $ref: "#/components/schemas/UUID" }
+        created_at: { $ref: "#/components/schemas/ISODateTime" }
+        type: { type: string, const: answering_machine }
+        data:
+          type: object
+          required: [kind, confidence, time]
+          properties:
+            kind:
+              type: string
+              enum: [human, machine]
+              description: Whether a person picked up or the call reached an answering machine.
+            confidence:
+              type: number
+              minimum: 0
+              maximum: 1
+              description: >-
+                How machine-like the call opening was, between 0 and 1. This is a ranking
+                score, not a calibrated probability: compare it against a threshold tuned on
+                your own traffic rather than reading it as a likelihood.
+            time:
+              type: number
+              description: >-
+                Position in the audio stream, in seconds from the start of the session, at
+                which the decision was taken. Measured on the audio timeline and sharing the
+                same reference as speech_start, speech_end and transcript, so all messages can
+                be ordered against each other. Use created_at to correlate with wall-clock logs.
+            channel:
+              type: integer
+              description: Audio channel index (0-based) for which the decision applies.
+          description: Outcome of answering machine detection for the session.
+      description: >-
+        Reports whether the callee is a human or an answering machine. Emitted at most once
+        per session, before the first transcript, and never revised. Does not require
+        transcription, so it behaves the same across languages.
+      examples:
+        - session_id: "550e8400-e29b-41d4-a716-446655440000"
+          created_at: "2026-09-09T12:34:11Z"
+          type: answering_machine
+          data:
+            kind: machine
+            confidence: 0.78
+            time: 5.24
+            channel: 0
+        - session_id: "550e8400-e29b-41d4-a716-446655440000"
+          created_at: "2026-09-09T12:34:11Z"
+          type: answering_machine
+          data:
+            kind: human
+            confidence: 0.12
+            time: 5.31
+            channel: 0
+
     TranslationMessage:
       type: object
       required: [session_id, created_at, type, data]

chapters/live-stt/features/answering-machine-detection.mdx

@@ -0,0 +1,62 @@
+---
+title: "Answering Machine Detection"
+description: "Know within seconds whether a human or a voicemail picked up"
+---
+
+Answering machine detection tells you whether the person you called picked up, or whether you reached a voicemail greeting.
+
+The decision arrives in the first seconds of the call, before the first transcript, so an outbound agent can act on it immediately.
+
+### The message
+
+You receive an `answering_machine` message once per session:
+
+```json
+{
+  "session_id": "550e8400-e29b-41d4-a716-446655440000",
+  "created_at": "2026-09-09T12:34:11Z",
+  "type": "answering_machine",
+  "data": {
+    "kind": "machine",
+    "confidence": 0.78,
+    "time": 5.24,
+    "channel": 0
+  }
+}
+```
+
+| Field | Meaning |
+|---|---|
+| `kind` | `human` or `machine` |
+| `confidence` | Score between 0 and 1 indicating how machine-like the call opening was |
+| `time` | Position in the audio stream, in seconds from the start of the session, at which the decision was taken |
+| `channel` | Audio channel index the decision applies to |
+
+<Note>
+`time` is measured on the **audio timeline**, not the clock. It uses the same reference as `speech_start`, `speech_end` and `transcript`, so you can order all of them against each other. If you push audio faster than real time, `time` still refers to the audio position, so use `created_at` when you need to correlate with your own logs.
+</Note>
+
+<Warning>
+`confidence` is a **ranking score, not a probability**. A value of `0.7` does not mean "70% chance this is a machine". Use it to compare against a threshold you tune on your own traffic, not as a calibrated likelihood.
+</Warning>
+
+### Acting on it
+
+Most callers act on `kind` directly:
+
+- **`machine`** — hang up and requeue the number, or stay silent and let the greeting finish before leaving a recorded message.
+- **`human`** — start the conversation.
+
+If you want to be more conservative than the default, read `confidence` and require a high score before treating a call as a machine. Hanging up on a real person usually costs more than a few wasted seconds on a voicemail, so a threshold above the default is a common choice.
+
+### Timing and edge cases
+
+The decision fires **once per session** and is never revised. Later audio does not change it.
+
+- **The callee says nothing at all.** You still receive a message, reported as `human` with a low confidence. Silence is not evidence of a machine, and staying on the line is the safer default.
+- **Very short calls.** If the session ends before a decision can be taken, no message is emitted.
+- **No transcription required.** The detection does not depend on what was said, so it behaves the same across languages and adds no transcription latency.
+
+### Limits
+
+Detection is tuned for the opening of an outbound call. It is not designed to detect an answering machine that picks up mid-conversation, and it does not attempt to identify IVR menus or hold music.

docs.json

@@ -63,6 +63,7 @@
                   "chapters/live-stt/quickstart",
                   "chapters/live-stt/audio-intelligence",
                   "chapters/live-stt/features/endpointing",
+                  "chapters/live-stt/features/answering-machine-detection",
                   "chapters/live-stt/features/partial-transcripts",
                   "chapters/live-stt/recommended-parameters"
                 ]
@@ -184,6 +185,7 @@
                       "api-reference/v2/live/callback/transcript",
                       "api-reference/v2/live/callback/speech-start",
                       "api-reference/v2/live/callback/speech-end",
+                      "api-reference/v2/live/callback/answering-machine",
                       "api-reference/v2/live/callback/translation",
                       "api-reference/v2/live/callback/named-entity-recognition",
                       "api-reference/v2/live/callback/sentiment-analysis"