Three new metrics plug into the existing Metric registry. All inherit the async compute path, so first-use is non-blocking and subsequent switches hit the per-(file, metric) cache. - CrestFactorMetric: 20*log10(peak/RMS) per 1 s window, 0.25 s hop. Uses cumsum-of-squares for O(N) RMS. Reference lines at 12 dB (roomy) and 6 dB (heavily limited). - PSRMetric: sample-peak (dBFS) minus short-term LUFS over the same 3 s window as LUFSMetric, so the two plots line up. Reference lines at 10 LU (good punch) and 4 LU (squashed). - TruePeakMetric: ITU-R BS.1770 oversampled true peak via scipy.signal.resample_poly at 4x over 250 ms / 100 ms windows. data["integrated_tp_db"] carries the track-wide max. - LUFSMetric now also computes Meter.loudness_range and surfaces it in the plot legend alongside the integrated value. - Shared _to_dbfs helper floors 20*log10 at _EPS so silent windows don't explode. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
uj-mastering-master
Custom mastering toolkit providing visual metrics for evaluating audio masterings. Developed with Claude Code assistance.
Features
Current
- PyQt5 GUI: drag-and-drop or file-dialog ingest of
.mp3,.wav,.flac - RMS power analysis on a 10 s rolling window with adaptive colour scale
- BPM detection via librosa
- CJK-safe font system with custom fonts loaded from
fonts/(gitignored), system fallbacks, and a live font selector - Background analysis thread so the UI stays responsive
- Embedded matplotlib canvas with auto-regenerated plots on font change
Roadmap
See CLAUDE.md for the full development roadmap. Near-term: dynamic range, plot-style controls, interactive axis controls.
Quick start
This project uses uv. With uv installed:
uv sync
uv run ujm
uv run ujm is the only supported entry point — it boots the GUI.
Logging flags
uv run ujm --log-level DEBUG # ERROR | WARN | INFO | DEBUG | TRACE
uv run ujm --log-file # also write audio_analysis.log
Fonts
Drop .ttf / .otf / .ttc files into fonts/ to get them in the font
selector. The directory is gitignored to avoid bundling licensed font data.
See CJK_FONTS.md for details.
Dependencies
librosa, numpy, matplotlib, mutagen, pyloudnorm, PyQt5 — all pinned
through uv.lock. Python 3.10+.
Architecture
| Module | Responsibility |
|---|---|
main.py |
MainWindow + the ujm entry point |
analysis_results_manager.py |
Background QThread worker, result + metric-data cache |
master_core.py |
AudioFile: librosa loading, RMS rolling window, BPM |
metrics.py |
Pluggable Metric ABC + registry (RMS Power, Waveform, …) |
audio_visualization_widget.py |
Embedded FigureCanvasQTAgg host |
font_manager.py |
Custom + system CJK font discovery, matplotlib/Qt config |
font_control_widget.py |
Font picker + size slider |
plot_control_widget.py |
Metric selector + refresh-plot button |
logger_setup.py |
CLI log-level parsing + custom TRACE level |
setup_fonts.py |
Diagnostic utility (run standalone) |
Adding a metric
Subclass Metric in metrics.py, implement compute(audio_file) -> data (the
heavy part, runs on the worker thread) and render(data, file_path) -> Figure
(cheap, runs on the GUI thread). Register the instance in the METRICS dict at
the bottom of the file — it shows up in the dropdown automatically.