# Plan: Speaker Recognition

**Goal:** Maven can distinguish between different speakers on the voice channel — recognize known voices (the user, family members) and tag facts/notes/transcripts with a speaker identity.

**Done when:**
- Speaker embedding extractor (e.g., ECAPA-TDNN or a simple MFCC + GMM) runs on incoming voice PCM before STT
- Embedding is compared against enrolled speaker profiles (stored as vectors in the `memory_vectors` table alongside semantic memory)
- Unknown speakers are enrolled on first interaction (prompt: "кто это?")
- All voice fact/note writes are tagged with `speaker:<id>` in the value/source metadata
- Speaker identity is available as context to the router, phraser, and replier ("ok, <name>")

**Scope:**
- New `internal/speaker/` package — enrollment, recognition, embedding extraction
- Reuses `internal/store.MemoryStore` for speaker vector storage (same `memory_vectors` table, different `source` prefix)
- Reuses `internal/audio` for PCM preprocessing
- Integration point: `cmd/mavend/voice.go:HandlePushToTalk` — speaker ID extracted before STT, passed through context

**Steps:**
1. Research speaker embedding approaches — simplest floor: MFCC + cosine similarity via `github.com/mjibson/go-dsp` or a pre-trained ONNX model (SpeechBrain ECAPA)
2. Create `internal/speaker/recognizer.go` — `Recognizer` interface: `Identify(pcm []float32) (SpeakerID, confidence)`, `Enroll(id, pcm)`
3. Create `internal/speaker/store.go` — speaker profile CRUD via `store.MemoryStore`: `Insert("speaker:<id>", embedding, meta)`, `Search(embedding, k)`
4. Create `internal/speaker/enroll.go` — enrollment flow: capture N seconds of audio, extract embedding, prompt for name via TTS + STT round-trip
5. Wire into `cmd/mavend/voice.go:HandlePushToTalk` — run speaker ID on the PCM before STT; pass speaker ID through `context.Context` to `applyAction`
6. Tag all voice-written facts/notes with speaker ID — `Source` becomes `tap:voice:speaker:<id>` or metadata field
7. Add IPC methods `MethodEnrollSpeaker`, `MethodListSpeakers`, `MethodRemoveSpeaker`
8. Add speaker config block to `voice` in `config.Config` — `{speaker_recognition: true, model_path}`
9. Test with 2+ recorded voice samples — verify correct identification and rejection of unknown speakers