trail mix

Cuelume. Interaction sounds for the web

Cuelume is a tiny, dependency-free library of carefully designed interaction sounds, synthesized live with Web Audio.

Cuelume. Interaction sounds for the web

Cuelume is a tiny, dependency-free library of carefully designed interaction sounds, synthesized live with Web Audio.

How Much AI Is in This Track? Quantifying the Proportion of AI-Generated Stems in Hybrid Music Mixtures

AI-generated music is increasingly used at the stem level, with producers integrating synthetic drums, basslines, or vocals alongside human-performed instruments. However, current AI music detection systems are binary, treating tracks as either fully AI or fully human. In this paper, we reformulate AI music detection as a regression problem on a continuous AI energy ratio, alpha in [0, 1]. We propose a methodology that leverages a multi-track music dataset to assemble mixtures of human-performed and AI-reconstructed stems (obtained using a neural audio codec) with known proportions of each content type. Using this approach, we first show that a CNN-based model trained on fully AI-generated or human-performed tracks, which achieves >99% accuracy as a binary detector, when faced with mixed content, yields an output that rises with the AI stems' energy contribution, acting as a noisy and miscalibrated estimator. Our analysis of the influence of different stems shows that detection sensitivity depends on the instrument and reflects its frequency content: drums and guitar carry strong codec-artifact signatures, while vocals and bass are less detectable. Based on these insights, we train a similar CNN-based model for regression of alpha, achieving MAE = 0.076 and R^2 = 0.85 on held-out mixtures from the same pipeline. These results suggest that the regression formulation is an initial promising step towards AI-music detection in realistic music production workflows.

[Music Assets] FREE Music Loop Bundle

Over 150 seamless music loops for all genres and styles of games

tsiry-sandratraina.com/music-player

An extensible music server written in Rust , single binary, zero dependency

HAIM: Human-AI Music Datasets for AI Music Production Tracking Benchmark

As generative platforms such as Suno and Udio reach human-grade audio quality, the scope of AI's utility has expanded across the entire music production workflow. Beyond simple track generation, these advancements have catalyzed the adoption of AI-driven methodologies in diverse forms. These include vocal synthesis, arrangement, and professional mastering. However, current detection research remains largely confined to a binary `AI-or-human' paradigm. It fails to reflect the realities of contemporary music production workflows. In real-world production, AI tools are increasingly used to refine or master human-produced tracks, and human engineers likewise post-process AI-generated material to ensure professional quality. Moreover, users often employ adversarial tactics to bypass AI detectors, such as applying human mastering to AI-generated tracks. This creates a grey area that a simple binary classification fails to capture. In this paper, we define and investigate ``AI Music Tracking'': the challenge of identifying specific AI integration across the multifaceted spectrum of music production. To this end, we introduce HAIM, a dataset with diverse labels for stages of music production. It is designed to isolate stages of AI intervention, including hybrid production and agent-level tracking. Our evaluation of state-of-the-art detectors reveals systemic flaws. By releasing HAIM, we propose a new benchmark that shifts the field beyond binary classification toward a granular, structured evaluation of AI music.

Rocksky — Keep track of what you listen to

Track what you listen to with Rocksky. See your listening stats, follow other listeners, and import your scrobbles. Open source and built on AT Protocol.

MANIFEST AUDIO | Creative Tools for Ableton Live

Creative Max for Live devices, MIDI tools, effects, and racks for Ableton Live. Designed for creative producers, demanding performers, and intrepid sound explorers.

@web-kits/audio

Declarative audio synthesis for the web.

GitHub - teal-fm/piper: [WIP] music platform user data scraper

[WIP] music platform user data scraper. Contribute to teal-fm/piper development by creating an account on GitHub.

Rocksky (@rocksky.app)

A decentralized music tracking and discovery platform built on @atproto.com 🎵 . Scrobble your plays, share playlists, and explore listening trends, not affiliated with @bsky.app Support the project → https://github.com/sponsors/tsirysndr

runoffgroove.com

This is the Runoff Groove, featuring do-it-yourself guitar stompbox mp3 sound clips and my notes on building one fuzz box after another. Also, schematics and articles related to effect pedals.