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/pyproject.toml

@@ -0,0 +1,25 @@
+[build-system]
+requires = ["setuptools>=68.0"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "radio-processor"
+version = "0.1.0"
+description = "Audio processor for The Computer Guru Show"
+requires-python = ">=3.11"
+dependencies = [
+    "faster-whisper",
+    "pyannote.audio",
+    "pydub",
+    "librosa",
+    "scikit-learn",
+    "ollama",
+    "rich",
+    "pyyaml",
+]
+
+[project.scripts]
+radio-process = "src.cli:main"
+
+[tool.setuptools.packages.find]
+include = ["src*"]