VCV Rack is still in a pre-release, beta cycle – but it’s already up and running with a vision of what an open platform for software modular could look like. With 0.6.0, the software integrates with your DAW and manages third-party modules more easily.
If The Mad Music Machine thought that getting young Caitlin in her Christmas crown to explain modular clock signals would grab attention … they were right.
Le volume 2 de Electronic Music and Sound Design (Theory and practice with Max 7) d’Alessandro Cipriani et Maurizio Giri vient de paraître !
(Second edition updated to Max 7) This is the second in a series of three volumes dedicated to digital synthesis and sound design. It is part of a teaching method incorporating a substantial amount of online supporting materials: hundreds of sound examples and interactive examples, programs written in Max, as well as a library of Max objects created especially for this book.
Structured for use in university courses, the book is an overview of the theory and practice of Max/MSP, with a glossary of terms and suggested tests that allow students to evaluate their progress. This book will provide a reader with skill and understanding in using Max/MSP for sound design and musical composition.
Electronic Music and Sound Design
Theory and Practice with Max7 – Volume II
Second Edition updated to Max 7
Foreword by Richard Boulanger
- ISBN-13: 978-88-992120-4-9
- Paperback: 724 pages + online
- Publication Date: 10/10/2017
- Language: English
For many artists, nothing inspires more existential terror than actually making art. The fear that we’re not good enough or that we don’t know enough results in untold numbers of creative crises and potential masterpieces that never get realized.
Electronic musicians used to be able to hide behind clunky, emerging technology as an excuse for inaction. But musicians today live in a golden age of tools and technology. A ninety-nine-cent smartphone app can give you the functionality of a million-dollar recording studio. A new song can be shared with the world as soon as it’s finished. Tutorials for every sound design or music production technique can be found through a Google search. All of these developments have served to level the playing field for musicians, making it possible for a bedroom producer to create music at a level that used to be possible only for major-label artists.
But despite all of this, making music is still hard. Why?
Making Music was written both to answer this question and to offer ways to make it easier. It presents a systematic, concrete set of patterns that you can use when making music in order to move forward.
Plus d’infos ici : https://makingmusic.ableton.com
Have you ever wanted to build a new musical instrument that responded to your gestures by making sound? Or create live visuals to accompany a dancer? Or create an interactive art installation that reacts to the movements or actions of an audience? If so, take this course!
In this course, students will learn fundamental machine learning techniques that can be used to make sense of human gesture, musical audio, and other real-time data. The focus will be on learning about algorithms, software tools, and best practices that can be immediately employed in creating new real-time systems in the arts.
Specific topics of discussion include:
• What is machine learning?
• Common types of machine learning for making sense of human actions and sensor data, with a focus on classification, regression, and segmentation
• The “machine learning pipeline”: understanding how signals, features, algorithms, and models fit together, and how to select and configure each part of this pipeline to get good analysis results
• Off-the-shelf tools for machine learning (e.g., Wekinator, Weka, GestureFollower)
• Feature extraction and analysis techniques that are well-suited for music, dance, gaming, and visual art, especially for human motion analysis and audio analysis
• How to connect your machine learning tools to common digital arts tools such as Max/MSP, PD, ChucK, Processing, Unity 3D, SuperCollider, OpenFrameworks
• Introduction to cheap & easy sensing technologies that can be used as inputs to machine learning systems (e.g., Kinect, computer vision, hardware sensors, gaming controllers)
Si vous êtes à la recherche de cours, tutoriels, trucs et astuces à propos d’Ableton Live et Max For Live, faites un tour sur le site de Sonic Bloom !
Madeleine Bloom est musicienne, producteur, multi-instrumentiste et chanteuse, elle vit à Berlin. Elle a étudié la musique électroacoustique au Frantz Liszt Conservtory. Dans les dernières années elle a travaillé au support technique pour Ableton et aidé les utilisateurs grâce à ses compétences d’ingénieurs du son et sa connaissance d’Ableton Live.