3 Commits

Author	SHA1	Message	Date
Mike Swanson	826141a319	Audio processor: working voice profiler with WavLM speaker embeddings ... - Voice profiler using microsoft/wavlm-base-sv (512-dim x-vector embeddings) - Bootstrap from archive: 180 embeddings from 9 episodes across 2010-2018 - Host identification accuracy: 0.87-0.98 similarity for live speech, 0.60-0.64 for non-host audio (produced intros, co-host) - Dropped speechbrain dependency (requires torchaudio, CUDA version conflicts) - Patched torchaudio CUDA 12.8/13.1 version check (warning instead of error) - Profile stored in voice-profiles/mike-swanson/ with per-chunk embeddings Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-03-21 12:19:13 -07:00
Mike Swanson	87f5a9306a	Audio processor: fix segment detection with transcript-driven breaks ... - Add transcript break phrase detection (going_to_break/coming_back cues) - Create segments from transcript breaks with silence boundary snapping - Fix segment dedup in merge_adjacent (handle overlapping segments) - Add CUDA 12 library path fix (gpu.py + venv activate hook) - Auto-load existing transcript in detect command - Tested on 2011-03-05 HR1: correctly identifies commercial break at 34:38 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-03-21 11:59:54 -07:00
Mike Swanson	a1e0442d8b	Add radio show audio processor and post-show workflow ... - Audio processor CLI tool with 6-stage pipeline: transcribe (faster-whisper GPU), diarize (pyannote), detect segments (multi-signal classifier), remove commercials, split segments, analyze content (Ollama) - Post-show workflow doc for episode posts, forum threads, deep-dive blog posts - Training plan for using 579-episode archive for voice profiles and commercial detection - Successful test: 45min episode transcribed in 2:37 on RTX 5070 Ti - Sample transcript output from S7E30 (March 2015) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>	2026-03-21 11:51:59 -07:00