AI in Audio Analysis
AI combines rule-based expert systems with LLM reasoning to interpret measurement data and generate actionable recommendations. AI bridges raw numbers and the expertise needed to diagnose complex sound system problems.
Two-Tier Architecture
Tier 1: Rules (instant, free). Flatness ±3 dB, RT60 vs target, coherence thresholds. Tier 2: Claude API processes complete context, identifies patterns rules miss.
Problem Detection
Seven categories: feedback, hum, polarity, comb filtering, noise floor, clipping, THD. Specialized algorithms per category.
Edge ML
ONNX models in-browser via WebGPU/WASM. Offline, no latency, local data. IndexedDB caches weights.
Health Score
0-100 composite: frequency balance, phase, coverage, noise, reverb, equipment match. Specific corrective actions ranked by impact.
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