MPC Key 37 G2 gives you everything you need to create music in a fully standalone workflow
The MPC Bible 3
New Update - Fully compatible MPC 3.9! Learn how to make music with Akai's latest standalone MPCs running the MPC3 Firmware
[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
The Millions of Songs Mashed Into AI-Generated Music
Explore the astonishing amount of music available to AI developers.
NOKIA 7250 | Liquid DnB / Jungle Mix
Getting Started Making Music | Notion
There are four elements of formula you need to make music.
Music Assistant
Music Assistant is a music library manager for local and streaming sources
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.
src/components/orchestrator/process-tracks/element.js at 46f233cf7e6aca56ac08d187ad6760b22abc9776 · tokono.ma/diffuse
A music player that connects to your cloud/distributed storage.
lexicons/output/playlistItem.json at v4 · tokono.ma/diffuse
A music player that connects to your cloud/distributed storage.
Why We’re Taking a Human‑First Stand on AI‑Generated Music — Qobuz Community
Artificial intelligence is transforming the music industry at an unprecedented pace. Faced with the explosion of AI-generated content and the legitimate questions it raises, Qobuz has chosen transparency. This charter establishes our framework: how we use AI, where we draw our lines, and what commi
Rasmus Andersson - Playbit Sync
Rasmus Andersson - Playbit Sync