2 repositorios
Systems that allow users to specify musical parameters like BPM, key, time signature, and duration for generated compositions.
Distinct from Algorithmic Music Composition: Distinct from Algorithmic Music Composition: focuses on user-specified structural parameters rather than rule-based generation algorithms.
Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Compositional Parameter Controllers. Refine with filters or upvote what's useful.
ACE Step 1.5 is a local text-to-music generation and audio editing system that runs on consumer hardware. It transforms plain-language descriptions into full-length songs with lyrics, and can edit existing audio through cover generation, vocal removal, track separation, and selective repainting. The system supports multilingual prompts and lyrics in over 50 languages, and provides precise control over musical structure including duration, BPM, key, and time signature. The project distinguishes itself through a dual-stream diffusion architecture that processes separate latent streams for vocal
Suno specifies duration, BPM, key, time signature, and lyrics in 50+ languages to guide the generated composition.
ace-step-ui is an AI music production workspace and interface for generating, editing, and organizing synthetic audio tracks and vocals. It provides a technical control panel for managing prompts, seeds, and style parameters to produce high-quality audio. The project includes a digital audio workstation interface for trimming and fading files, alongside an audio stem separation tool that splits mixed tracks into individual components such as drums, bass, and vocals. It also features a music video creator for generating visual content and procedural album art to accompany generated music. The
Allows users to specify musical parameters like BPM, key, and duration to control AI music generation.