CPU-only online speaker labelling for caption windows (CAPTION_DIARIZATION=1):
pyannote segmentation-3.0 finds local turns, a TitaNet-small voiceprint via
sherpa-onnx matches them to per-room speakers numbered in arrival order.
/transcribe?speakers=1 returns committed words grouped into segments with a
speaker ID and the name assigned for the show. Models are SHA-256 pinned and
cached with the Whisper weights; audio and voiceprints are never stored.
Rooms gain a persisted cast list and in-memory per-show names through
/api/rooms/<id>/speakers. The capture page offers "Identify speakers
automatically", publishes one relay caption per speaker turn with label and
spk, and shares a speaker-names panel (speaker-names.js) with the editor.
Also adds scripts/diarize_eval.py, deploy.py --speakers, and copies rooms.py
into the GPU image.
trav
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