A perception-first analysis plugin that goes beyond raw frequency readouts. Calculates an Acoustic Activation Index (0–100) representing how stimulating or calming a signal is likely to feel to a listener — combining brightness, harshness, dynamic variability, and temporal unpredictability into a single interpretable score with CSV export for research use.
Plugin Demo
// replace with YouTube embed when ready
Main interface — colour-coded Activation Score + metric bars
Real-time metric graphs + historic traces
Recording session & CSV export
Standalone — research & quick testing
Start/stop with live timestamped frames at ~23–30 Hz. Per-frame metrics captured in a thread-safe buffer, ready for export at any point.
Session exports include precise timestamps, the composite activation score, and all component metrics. Format ready for R, Python, or Excel pipelines.
Designed to correlate acoustic activation scores with questionnaire responses or physiological measurements in controlled listening studies.
Four perceptual dimensions combine into a single 0–100 score. Green = calm, red = activating. Coefficients derived from research into arousal responses to spectral and temporal audio features.
Strongest single predictor — high-frequency harshness triggers arousal responses most reliably.
Spectral centroid position — brighter sounds score higher on alertness and stimulation scales.
Loudness unpredictability over time — higher variance keeps the auditory system in an alert state.
Sudden transient detection — startle-pattern triggers contribute independently of overall loudness.
Beta builds posted during testing phases. Contact for early access or research partnerships.
A-weighting, ISO-compliant sharpness/roughness metrics, Bark/ERB conversions, SPL calibration, and expanded visualisation modes for publication-ready output figures.
Open to beta testers, data-sharing arrangements, and research partnerships involving acoustic perception measurement.