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Acoustic Analyzer

Psychoacoustic Activation Analysis Plugin

The Acoustic Analyzer is designed around perceptual measurement rather than raw readouts. It calculates an Acoustic Activation Index (0โ€“100) that represents how stimulating or calming an audio signal is likely to feel to a listener. This page keeps the technical heart of the project but presents it in the same visual template used by EchoPsychFX for consistency across the portfolio.

๐Ÿง  Perception-First Metrics

Brightness, harshness, dynamic variability and temporal unpredictability are combined using research-weighted coefficients to produce an interpretable activation score that maps to colour-coded UI feedback (green = calm โ†’ red = activating).

Analysis Metrics

Acoustic Activation Index

Component weights used for the composite score:

Research & Export

๐Ÿ“Š Real-Time Recording

  • Start/stop recording with live timestamped frames (~23โ€“30Hz depending on UI).
  • Per-frame metrics captured and made thread-safe for export.

๐Ÿ’พ CSV Export

  • Session exports include precise timestamps, activation score, and component metrics.
  • Format ready for statistical tools (R, Python, Excel).

Media Gallery

Interface screenshots, visualizations and demo clips.

๐ŸŽ›๏ธ
Main Interface

Color-coded Activation Score + metric bars

๐Ÿ“ˆ
Metric Visualization

Real-time graphs and historic traces for post-analysis

๐Ÿ”ด
Recording Session

Timestamps, sample counts and CSV-ready output

๐Ÿงช
Research App

Correlate activation with questionnaires or biomarkers

Tip: Replace placeholders with <img> or <video> tags to show real assets.

Download

Beta builds will be posted during testing phases.

VST3 (Windows)

64-bit Windows build โ€” coming soon

VST3 (macOS)

Universal binary for Intel & Apple Silicon โ€” coming soon

AU (macOS)

AudioUnit for Logic/ GarageBand โ€” coming soon

Standalone

Standalone app for quick tests โ€” coming soon

Technical Specs

Planned Improvements

๐Ÿ”ฌ Future Enhancements

Planned additions include A-weighting, ISO-compliant sharpness/roughness metrics, Bark/ERB conversions, SPL calibration and expanded visualization modes for publication-ready figures.

Interested in collaboration or testing?

Contact for beta access, data-sharing, or research partnerships.

๐Ÿ“ง Get in Touch