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Awesome GitHub RepositoriesMeasurement Database Aggregators
Tools that collect and normalize published measurement data from multiple sources into a unified dataset.
Distinct from Aggregated Event Measurements: No candidate covers aggregating and normalizing published measurement data from multiple sources into a unified database.
Explore 1 awesome GitHub repository matching data & databases · Measurement Database Aggregators. Refine with filters or upvote what's useful.
Awesome Measurement Database Aggregators GitHub Repositories
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- jaakkopasanen/autoeq
jaakkopasanen/AutoEq
15,922عرض على GitHubAutoEq is a command-line tool that generates headphone equalization settings by comparing frequency response measurements against a target curve. It aggregates published headphone measurement data from multiple sources into a unified database, then computes per-band gain adjustments to match a desired sound profile. The tool produces equalization presets in parametric, graphic, and convolution filter formats, converting frequency response deviations into biquad coefficients or finite impulse response filters. It supports exporting these settings for use with various hardware and software equa
Collecting and normalizing published headphone frequency response measurements from multiple sources into a unified dataset.
Python
