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>

projects/radio-show/audio-processor/config.yaml

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+show:
+  name: "The Computer Guru Show"
+  host: "Mike Swanson"
+  typical_duration_minutes: 120
+  segment_count: 6
+  has_commercials: true
+
+audio:
+  whisper_model: "large-v3"
+  whisper_language: "en"
+  output_format: "mp3"
+  output_bitrate: "192k"
+  normalize: true
+  crossfade_ms: 500
+
+segment_detection:
+  fingerprint_db: "element-library/fingerprints.db"
+  fingerprint_match_threshold: 0.85
+
+  discover_unknown_elements: true
+  min_element_duration_s: 1.0
+  max_element_duration_s: 30.0
+  cluster_similarity_threshold: 0.90
+  min_cluster_occurrences: 3
+
+  min_break_duration_s: 30
+  max_break_duration_s: 300
+  silence_threshold_db: -40
+  confidence_threshold: 0.70
+
+  weights:
+    fingerprint_match: 0.30
+    speaker_identity: 0.25
+    audio_characteristics: 0.20
+    break_pattern: 0.15
+    structural_heuristic: 0.10
+
+diarization:
+  min_speakers: 1
+  max_speakers: 6
+  voice_profiles_dir: "voice-profiles/"
+  host_match_threshold: 0.75
+
+llm:
+  model: "qwen3:14b"
+  ollama_host: "http://localhost:11434"
+
+paths:
+  episodes_dir: "episodes/"
+  voice_profiles: "voice-profiles/"
+  element_library: "element-library/"
+  output_dir: "processed/"
+
+archive:
+  server: "172.16.3.10"
+  path: "/home/gurushow/public_html/archive/"
+  elements_path: "/home/gurushow/public_html/archive/Radio/Elements/"