PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 12, 20260 citationsOpen Access

sonus, an open-source Max/MSP package for sound experimentation and algorithmic composition

View Full Paper
VOValerio Orlandini

Key Points

  • The aim is to introduce sonus as a versatile tool for artistic sound creation and manipulation.
  • Developed using C++ externals with Cycling ’74 Min-DevKit
  • Organized into four categories: generators, effects, neural networks, and utilities
  • Includes Max for Live devices for workflow integration
  • Released under the MIT license, available on GitHub
  • Facilitates diverse sound experimentation and algorithmic composition
  • Offers a variety of sound generators and effects for real-time processing
  • Includes neural network implementations for generative systems
  • Provides computational utilities for enhanced creative workflows

Abstract

This paper introduces sonus, an open-source Max/MSP package comprising a collection of C++ externals developed with Cycling ’74 Min-DevKit. The package is designed to support practices in algorithmic and AI-assisted composition, experimental sound synthesis and creative sound design. Its objects are organised into four categories: generators, including various kinds of oscillators and modulation sources; effects and sample manipulation, implementing real-time effects and offline processing of audio buffers; neural networks and AI, featuring implementations of some autonomous generative systems; math and utilities, providing functions to ease common computational tasks. The package also includes a set of Max for Live devices that demonstrate practical integrations of selected externals in compositional workflows. sonus is released under the MIT license and publicly available on GitHub.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Valerio Orlandini (2026) studied this question.

synapsesocial.com/papers/698d6e4a5be6419ac0d53e96https://doi.org/10.5281/zenodo.18600750
Ask AI
Helpful
Bookmark
Share
View Full Paper