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