Research
Core themes we explore in anomaly detection and dataset engineering.
Audio anomaly detection
Robust scoring under noise, domain shift, and changing operating conditions.
Protocols & benchmarks
Recording recipes, labeling rules, metadata schemas, and benchmark splits.
Deployment engineering
Capture pipelines, QA checks, edge-friendly inference, and monitoring.