# torvalds/AudioNoise

Random digital audio effects

Repository: https://github.com/torvalds/AudioNoise
Canonical: https://ross.abutalabs.com/products/audionoise
Language: C
License: GPL-2.0
License Family: copyleft
Last push: 2026-05-08T17:20:22+00:00

## Health v2 (maintenance only)
Score: 52/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 81, release rhythm 35, longevity 16
- inputs: {"age_days": 237, "days_push": 117, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 4473, forks 214 (observed 2026-08-28T04:08:51.019264+00:00)

## What it is
A collection of toy digital audio effect implementations (IIR filters, delay loops) written in C, created as a learning project alongside Linus Torvalds' guitar pedal hardware. It simulates single-sample, low-latency effects like phasers and echoes without any AI-based processing.

## Use cases
- learn digital audio processing basics
- simulate guitar pedal effects in software
- experiment with IIR filters and delay lines
- prototype low-latency audio effects
- study how analog circuits map to digital filters

## When to choose
- you want simple, readable C code for learning DSP fundamentals
- you need basic single-sample effects like phaser or echo without external dependencies
- you're exploring audio effects for embedded guitar pedal projects

## When to avoid
- you need production-quality or AI-based amp/cab emulation
- you want FFT-based effects like vocoders or convolution reverb
- you need a polished audio framework with plugin support

## Facets
- artifact type: library
- maturity: experimental
- function: audio-processing, simulation, developer-tools
- domain: embedded-systems, education
- platform: c, cross-platform
- tags: guitar-pedal, digital-signal-processing, iir-filters, audio-effects, learning-project, audio

## Member repositories
- torvalds/AudioNoise (main) score 52

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:51.019264+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:20:36.093597+00:00, confidence not recorded.
  - readme: https://github.com/torvalds/AudioNoise (fetched 2026-08-28T04:08:51.019264+00:00, sha 76dc76e2bb6e)
- Data as of 2026-08-30T08:39:29.467469+00:00.