ARC-AudioBench
May 6, 2026 · View on GitHub
Local-first benchmark suite for audio plugins, DSP tools, JUCE projects, spectral processors, Web Audio instruments, and AI-assisted music software.
ARC-AudioBench is the validation and evidence layer for open-source audio software. It generates deterministic test signals, analyzes rendered WAV output, compares benchmark runs, validates JSON results, builds release evidence packs, and documents pluginval/DAW validation paths for projects like FreeEQ8, FreeVox8, Voxel Audio, and future ARC/TizWildin audio tools.
Quick answer
Use this repo if you need a searchable, reproducible benchmark suite for:
- audio plugin benchmark workflows
- JUCE plugin testing
- VST3 / AU validation planning
- DSP regression tests
- spectral processor testing
- FreeEQ8 and FreeVox8 validation
- Python audio analysis
- pluginval evidence collection
- reproducible audio research
- citation-ready audio software reports
Why it exists
Audio projects often claim they are stable, high quality, realtime safe, or production ready. ARC-AudioBench makes those claims easier to prove with repeatable files:
test signal -> plugin/render path -> WAV analysis -> JSON result -> threshold validation -> evidence pack
This repo is intentionally local-first. No cloud service is required to generate test tones, analyze WAVs, compare outputs, or produce evidence.
Features
- Deterministic WAV test tone generation
- Sine tones, silence, impulse, and log sweep generation
- WAV analysis: peak, RMS, crest factor, DC offset, clipping, zero-crossing frequency estimate, SHA-256
- Batch analysis for folders of WAV files
- Result validation against thresholds
- Result comparison and delta reporting
- HTML + Markdown report generation
- JSON schema for benchmark output
- Evidence pack generation for releases
- FreeEQ8 integration notes
- FreeVox8 spectral-vocoder benchmark plan
- Voxel Audio visual/export benchmark plan
- ARC governance and receipt-style release evidence
- Citation metadata and research SEO documentation
Start here
python3 scripts/generate_test_tones.py
python3 scripts/analyze_wav.py data/test_tones/sine_1000hz.wav --out results/sine_1000hz.analysis.json
python3 scripts/validate_results.py results/sine_1000hz.analysis.json
python3 scripts/report_results.py results --out reports/index.html --markdown reports/summary.md
python3 scripts/make_evidence_pack.py
Or use the single CLI wrapper:
python3 scripts/arc_audiobench.py generate
python3 scripts/arc_audiobench.py analyze data/test_tones/sine_1000hz.wav --out results/sine_1000hz.analysis.json
python3 scripts/arc_audiobench.py report results --out reports/index.html
python3 scripts/arc_audiobench.py evidence
python3 scripts/arc_audiobench.py validate-repo
Repository map
ARC-AudioBench/
├─ README.md
├─ QUICKSTART.md
├─ BENCHMARKS.md
├─ CITATION.cff
├─ pyproject.toml
├─ docs/
├─ scripts/
├─ schemas/
├─ data/
├─ examples/
├─ results/
├─ reports/
├─ integrations/
├─ release_evidence/
├─ assets/
└─ .github/
Ecosystem anchors and source references
ARC-AudioBench is a standalone benchmark product, but it was intentionally designed from the public GareBear99 / TizWildin repo ecosystem. These are the canonical repos referenced by the benchmark suite, documentation, SEO map, release-evidence model, and future integration path.
| Repository | Role in ARC-AudioBench | Category |
|---|---|---|
| FreeEQ8 | Primary open-source JUCE/C++ parametric EQ benchmark target | product-anchor |
| FreeVox8 | Spectral vocoder / ghost-resynthesis benchmark target | product-anchor |
| Voxel Audio | Visualizer/export integrity and browser audio-output benchmark target | product-anchor |
| ARC-Neuron LLMBuilder | Governed local AI evidence, promotion, benchmark language, and release-gate reference | governance-reference |
| ARC-Core | Authority, receipts, validation, release-gate, and evidence-control reference | governance-reference |
| Arc-RAR | Archival bundle, rollback, evidence-pack, and replay package reference | governance-reference |
| OmniBinary Runtime | Binary truth / replay ledger / restore path reference | governance-reference |
| Awesome Audio Plugins & Dev | Start Here technical discovery list for audio plugins, DSP, JUCE, sample packs, and developer resources | seo-discovery |
| Awesome Audio Lists | Root hub for audio lists, submission surfaces, plugin directories, sample-pack directories, and ecosystem routing | seo-discovery |
| Awesome Music Platforms | Independent artist platform map for distribution, beat selling, sample packs, sync, promotion, and analytics | seo-discovery |
| Awesome Python Audio Science | Academic/research-facing Python audio science, MIR, ML-audio, reproducible research, and citation bridge | research-seo |
| TizWildinEntertainmentHUB | Public .io/HUB router for plugins, lists, deconstructed loops, sample packs, visualizers, and release surfaces | public-router |
| TizWildin Release Vault | Release surface for deconstructed loops, packs, music drops, and creator-resource routing | public-router |
| Instrudio | SSOT Web Audio virtual-instrument runtime and physical-modeling research anchor | research-product-anchor |
See docs/ECOSYSTEM_REPO_REFERENCES.md and data/integration_targets.json for the machine-readable version of this map.
High-value search terms
ARC-AudioBench is intentionally positioned around terms people actually search:
audio plugin benchmark
JUCE plugin testing
VST3 validation
pluginval automation
DSP benchmark
Python audio analysis
reproducible audio research
open source audio plugin testing
FreeEQ8 benchmark
FreeVox8 spectral vocoder benchmark
Honest production status
This package is a v1.0.0 public source release framework. The local benchmark, report, validation, and evidence scripts run without external services. Plugin-specific certification still requires the actual plugin binaries, pluginval output, and DAW smoke tests for each target plugin.
License
MIT. See LICENSE.