duffyduck
6e19adab87
feat(speaker-id): Phase 1 — SpeechBrain ECAPA-TDNN Backend in whisper-bridge
Speaker-ID-Modul (Hermes-Style „echtes Gespraech ohne Wake-Word"-Vision,
Phase 1 von 5). Erkennt Stefans Stimme via 192-dim Embedding + Cosine-
Match gegen einen persistierten Fingerprint.
Module:
- speaker_id.py: lazy-loaded ECAPA-TDNN (HuggingFace), enroll/verify/
status/delete. Fingerprint = L2-normalisierter Mittelwert aus N
Enrollment-Samples in /voice-id/fingerprint.json.
Fail-open: kein Fingerprint → verify() returnt (True, 0.0).
- bridge.py: 3 Message-Handler — voice_id_status_request,
voice_id_enroll_request (samples[]: base64 16kHz int16 PCM),
voice_id_delete_request. Enrollment laeuft im Executor (Torch
blockt sonst die Event-Loop).
- Dockerfile: torch 2.3.1 + torchaudio mit CUDA-12.1-Wheels (sonst
zieht speechbrain CPU-only Torch rein). Container ~1 GB groesser.
- docker-compose.yml: ./voice-id:/voice-id Bind-Mount fuer Fingerprint-
Persistenz (ueberlebt Container-Restart).
- rvs/server.js: 6 neue Message-Types in ALLOWED_TYPES.
Phase 2 (next): App-Enrollment-Flow + Diagnostic-Voice-ID-Section.
Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-06-06 20:26:12 +02:00
..
2026-04-05 19:42:10 +02:00
2026-05-24 20:23:28 +02:00
2026-05-24 20:23:28 +02:00
2026-06-06 08:27:08 +02:00
2026-03-08 23:31:46 +01:00
2026-03-09 00:31:21 +01:00
2026-06-06 20:26:12 +02:00