🎵Get the plugin 📖 Learn more Live Generative Music in your DAWToday, we’re happy to share The Infinite Crate, a DAW plugin prototype that integrate...| Magenta
Today, we’re pleased to introduce the Differentiable Digital Signal Processing (DDSP) library. DDSP lets you combine the interpretable structure of classical...| Magenta
Magenta RealTime Today, we’re happy to share a research preview of Magenta RealTime (Magenta RT), an open-weights live music model that allows you to interactively create, control and perform music in the moment. GitHub CodeColab DemoModel Card📝 [Paper coming soon] Magenta RT is the latest in a series of models and applications developed as part of the Magenta Project. It is the open-weights cousin of Lyria RealTime, the real-time generative music model powering Music FX DJ and the real-...| Magenta
Lyria RealTime API Lyria team For the last few years, we have continued to explore how different ways of interacting with generative AI technologies for music can lead to new creative possibilities. A primary focus has been on what we refer to as “live music models”, which can be controlled by a user in real-time. Lyria RealTime is Google DeepMind’s latest model developed for this purpose, and we are excited to share an experimental API that anyone can use to explore the technology, cre...| Magenta
TL;DR: Magenta Studio, first released in 2019, has been updated to more seamlessly integrate with Ableton Live. No functionality has changed, there are only UI changes and internal fixes. Please download and enjoy! If you’re new to Magenta Studio, please read our previous post about what it is and how it works. What’s New In the previous version of Magenta Studio, the Max for Live (M4L) plugin would launch a separate application specific to your operating system for each of the tools. Unf...| Magenta
Tl;dr: Dan Deacon worked with Google’s latest music AI models to compose the preshow music. Check out the MusicLM demo in the AI Test Kitchen app. Read on for more details about our collaboration with Dan Deacon. Dan Deacon’s I/O Performance On several occasions, we have had the pleasure of working with musicians that perform at Google I/O. This is an opportunity for us to bring our latest creative machine learning tools out of the lab and into the hands of the musicians. In previous year...| Magenta
A core piece of Magenta’s mission is to empower creativity using AI and machine learning. In order to evaluate how well this goal is being achieved, it is important to put tools in the hands of creators, encouraging them to share honest and critical feedback. This feedback can help researchers to thoughtfully develop the next generations of ML-powered creative tools. Most of our prior efforts to engage with creators have been in the domain of music (for example, Magenta Studio and NSynth). ...| Magenta
In this post, we’re excited to introduce the Chamber Ensemble Generator, a system for generating realistic chamber ensemble performances, and the corresponding CocoChorales Dataset, which contains over 1,400 hours of audio mixes with corresponding source data and MIDI, multi-f0, and per-note performance annotations. 🎵Audio Examples📝arXiv Paper📂Dataset Download InstructionsGithub Code Data is the bedrock that all machine learning systems are built upon. Historically, researchers app...| Magenta
We present our work on music generation with Perceiver AR, an autoregressive architecture that is able to generate high-quality samples as long as 65k tokens—the equivalent of minutes of music, or entire pieces! 🎵Music Samples📝ICML PaperGitHub CodeDeepMind Blog The playlist above contains samples generated by a Perceiver AR model trained on 10,000 hours of symbolic piano music (and synthesized with Fluidsynth). Introduction Transformer-based architectures have been recently used to ge...| Magenta
🎵Get the pluginTrain your own model Introduction Back in 2020, we introduced DDSP as a new approach to realistic neural audio synthesis of musical instruments that combines the efficiency and interpretability of classical DSP elements (such as filters, oscillators, reverberation, etc.) with the expressivity of deep learning. Since then, we’ve been able to leverage DDSP’s efficiency to power a variety of educational and creative web experiences, such as Tone Transfer, Sounds of India, a...| Magenta
We are pleased to introduce MIDI-DDSP, an audio generation model that generates audio in a 3-level hierarchy (Notes, Performance, Synthesis) with detailed control at each level. Colab Demo🤗Spaces🎵Audio Examples📝ICLR PaperGitHub Code💻Shell Utility MIDI is a widely used digital music standard for creating music in live performances or recordings. It allows us to use notes and control signals to play synthesizers and samplers, for instance sending “note-on” and “note-off” inf...| Magenta
Editorial Note: Here we present a blog post from our friends at Google Arts& Culture, who built a fun musical experiment based on DDSP. In June 2021, th...| Magenta