Synced files: - Session logs updated - Latest context and credentials - Command/directive updates Machine: acg-guru-5070 Timestamp: 2026-03-22 22:31:46 Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
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name, description, type
| name | description | type |
|---|---|---|
| Audio Processor - Segment-First Architecture | Revised pipeline architecture - detect breaks and split into segments BEFORE transcription for complete content capture | project |
Revised Pipeline Architecture (decided 2026-03-22)
Shows are almost always 4 segments per hour (8 total for a 2-hour show). Extra breaks are rare.
Old approach: Transcribe full episode -> truncate to fit LLM context -> analyze (loses content)
New approach: Detect breaks first (audio-only) -> split into ~8 segments -> transcribe each -> analyze each with full context -> cross-segment synthesis
Pipeline Order
- Audio-level break detection (no transcript needed) — loudness/compression jumps, silence gaps, known bumper fingerprints, HR1/HR2 boundary
- Split into segments — ~7-15 min each, complete audio chunks
- Transcribe each segment — smaller files, complete content, no truncation
- Analyze each segment — full transcript fits in LLM context window easily
- Cross-segment synthesis — detect topics spanning segments, callbacks ("going back to what we said before the break"), narrative arc
- Generate content — blog posts, forum posts, episode summary from complete analysis
Key Insights
- 4 segments/hour is a strong structural prior for break detection — if 12-18 min into a segment and audio signatures appear, almost certainly a break. At 5 min, probably not.
- Each segment transcript is ~5-10K chars — fits in any LLM context with room for detailed prompts
- Cross-segment synthesis pass is new and essential for catching callbacks and recurring topics
Why: Solves the context window truncation problem that loses show content. Each segment gets complete analysis.
How to apply: This is the architecture direction for all future audio processor work. The existing Stage 3 segment detector needs to work without transcript input (audio-only signals). Stage 6 analyzer needs per-segment + synthesis passes.