ce064d6894
Third ASR backend option alongside faster-whisper and qwen3. Builds microsoft/VibeVoice from source (pinned to a specific commit, since it's custom modeling code not in transformers' Auto* registry) into its own venv, inheriting the base image's torch/CUDA. Comes with built-in speaker diarization (VibeVoiceASRProcessor.post_process_transcription returns per-segment speaker ids directly, no separate pyannote pass needed). Verified end-to-end against a real recording: 200 OK, correct Korean transcription, speaker labels populated. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>