Mike Swanson
a1e0442d8b
- 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>
70 lines
831 B
Plaintext
70 lines
831 B
Plaintext
# Backups (local only - don't commit to repo)
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backups/
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# Local settings (machine-specific)
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.claude/settings.local.json
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# Temporary files
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*.tmp
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*.log
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*.bak
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# OS files
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.DS_Store
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Thumbs.db
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desktop.ini
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# IDE/Editor
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# Python
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__pycache__/
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*.pyc
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*.pyo
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venv/
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.env
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# Node
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node_modules/
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.npm/
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# Rust
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target/
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Cargo.lock
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# Build outputs
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dist/
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build/
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*.exe
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*.dll
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*.so
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*.dylib
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# ClaudeTools specific
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.encryption-key
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*.key
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.pytest_cache/
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.venv/
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*.db
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*.sqlite
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logs/
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.claude/tokens.json
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.claude/context-recall-config.env
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.claude/context-recall-config.env.backup
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.claude/context-cache/
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.claude/context-queue/
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api/.env
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# MCP Configuration (may contain secrets)
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.mcp.json
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Pictures/
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.grepai/
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# Radio processor
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projects/radio-show/audio-processor/test-data/*.mp3
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projects/radio-show/audio-processor/*.egg-info/
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