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﹃Magenta﹄
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18users
magenta.tensorflow.org
Welcome to Lo-Fi Player! By interacting with elements in the room, you can build your own custom music room. You can also share your room with others. Or if you prefer, just relax, listen, and enjoy the view from the window. The experience is powered by machine learning models from magenta.js. Click the image to try Lofi-Player. For many it’s more fun to play around with the room without an instru
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世の中
●2020/09/02 06:24
●music
8users
magenta.tensorflow.org
Music Transformer is an open source machine learning model from our research group that can generate long musical performances. We find it interesting to see what these models can and can’t do, so we made an app to make it easier to explore and curate the model’s output. If you listen to a bunch of samples, you’ll probably find that most compositions (like a lot of fully AI-generated music) are no
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テクノロジー
●2020/02/17 09:52
●機械学習
●music
●あとで読む
3users
magenta.tensorflow.org
DDSP: Differentiable Digital Signal Processing Jan 15, 2020 Jesse Engel jesseengel jesseengel Hanoi Hantrakul lamtharnhantrakul hanoihantrakul Chenjie Gu gcj calbeargu Adam Roberts adarob ada_rob Today, we’re pleased to introduce the Differentiable Digital Signal Processing (DDSP) library. DDSP lets you combine the interpretable structure of classical DSP elements (such as filters, oscillators, re
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テクノロジー
●2020/01/17 23:09
●機械学習
4users
magenta.tensorflow.org
SVG VAE: Generating Scalable Vector Graphics Typography Oct 15, 2019 Rapha Gontijo Lopes irapha iraphas13 SVG-VAE is a new generative model for scalable vector graphics (SVGs). With it, artists and designers have the power of machine learning at their fingertips to create new styles of fonts, intuitively manipulate character attributes, and even transfer styles between characters. SVG-VAE outputs
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テクノロジー
●2019/10/17 10:50
●あとで読む
3users
magenta.tensorflow.org
Magenta Studio is an Ableton Live plugin built on Magenta’s open source tools and models. They use cutting-edge machine learning techniques for music generation. Magenta Studio was formerly available as a collection of standalone applications. They are not actively maintained but may still work on your operating system. For more information, please see Magenta Studio v1.0. Table of Contents Overvi
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テクノロジー
●2019/10/05 08:24
36users
magenta.tensorflow.org
The Groove MIDI Dataset (GMD) is composed of 13.6 hours of aligned MIDI and (synthesized) audio of human-performed, tempo-aligned expressive drumming. The dataset contains 1,150 MIDI files and over 22,000 measures of drumming. Contents License Dataset MIDI Data Format Drum Mapping Control Changes Download TensorFlow Dataset How to Cite Acknowledgements License The dataset is made available by Goog
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エンタメ
●2019/05/14 14:20
●MIDI
●dtm
●data
●dataset
●music
●audio
●あとで読む
●音楽
3users
magenta.tensorflow.org
Making Beats with Machine Learning One (simplified) way to think about a beat, whether played live or electronically sequenced, is to break it down into 2 main components: the score - which drums are played, as could be written in western music notation, and the groove - how the drums are played, via precise dynamics (how hard each drum is struck) and microtiming (stylistic deviation from the exac
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世の中
●2019/05/04 10:10
5users
magenta.tensorflow.org
Coconet: the ML model behind today’s Bach Doodle Mar 20, 2019 Cheng-Zhi Anna Huang czhuang huangcza Tim Cooijmans cooijmanstim koning_robot Monica Dinculescu notwaldorf notwaldorf Adam Roberts adarob ada_rob Curtis Hawthorne cghawthorne fjord41 Have you seen today’s Doodle? Join us to celebrate J.S. Bach’s 334th birthday with the first AI-powered Google Doodle. You can create your own melody, and
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テクノロジー
●2019/03/21 11:42
●google
4users
magenta.tensorflow.org
In this post, we introduce GANSynth, a method for generating high-fidelity audio with Generative Adversarial Networks (GANs). Why generate audio with GANs? GANs are a state-of-the-art method for generating high-quality images. However, researchers have struggled to apply them to more sequential data such as audio and music, where autoregressive (AR) models such as WaveNets and Transformers dominat
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学び
●2019/03/01 23:32
3users
magenta.tensorflow.org
This page is for the Ableton Live integration of Magenta Studio. If you're looking for the standalone version instead, click here. Table of Contents Overview Installation Usage Continue Generate Interpolate Groove Drumify Overview Magenta Studio is a MIDI plugin for Ableton Live. It contains 5 tools: Continue, Groove, Generate, Drumify, and Interpolate, which let you apply Magenta models on your M
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テクノロジー
●2018/11/23 23:07
●ai
8users
magenta.tensorflow.org
Piano Genie: An Intelligent Musical Interface Oct 15, 2018 Chris Donahue chrisdonahue chrisdonahuey Ian Simon iansimon iansimon Sander Dieleman benanne sedielem Update (11/30/18): Piano Genie has been added to magenta.js, and has a shiny new web demo you can play with! We introduce Piano Genie, an intelligent controller that maps 8-button input to a full 88-key piano in real time: Piano Genie is i
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学び
●2018/10/16 13:49
●あとで読む
6users
magenta.tensorflow.org
Multitrack MusicVAE: Interactively Exploring Musical Styles Jun 5, 2018 Ian Simon iansimon iansimon Adam Roberts adarob ada_rob Colin Raffel craffel colinraffel Jesse Engel jesseengel jesseengel Curtis Hawthorne cghawthorne fjord41 Previously, we introduced MusicVAE, a hierarchical variational autoencoder over musical sequences. In this post, we demonstrate the use of MusicVAE to model a particula
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テクノロジー
●2018/06/06 14:10
6users
magenta.tensorflow.org
Redirecting to Magenta.
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テクノロジー
●2018/05/04 10:24
4users
magenta.tensorflow.org
A primary goal of the Magenta project is to demonstrate that machine learning can be used to enable and enhance the creative potential of all people. The demos and apps listed on this page illustrate the work of many people--both inside and outside of Google--to build fun toys, creative applications, research notebooks, and professional-grade tools that will benefit a wide range of users.
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テクノロジー
●2018/04/20 11:33
3users
magenta.tensorflow.org
MusicVAE: Creating a palette for musical scores with machine learning. Mar 15, 2018 Adam Roberts adarob ada_rob Jesse Engel jesseengel jesseengel Colin Raffel craffel colinraffel Ian Simon iansimon iansimon Curtis Hawthorne cghawthorne fjord41 When a painter creates a work of art, she first blends and explores color options on an artist’s palette before applying them to the canvas. This process is
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テクノロジー
●2018/03/28 15:57
6users
magenta.tensorflow.org
Onsets and Frames: Dual-Objective Piano Transcription Feb 12, 2018 Curtis Hawthorne cghawthorne fjord41 Erich Elsen ekelsen Update (9/20/18): Try out the new JavaScript implementation! Update (10/30/18): Read about improvements and a new dataset in The MAESTRO Dataset and Wave2Midi2Wave! Onsets and Frames is our new model for automatic polyphonic piano music transcription. Using this model, we can
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テクノロジー
●2018/02/13 08:47
●programming
●音楽
21users
magenta.tensorflow.org
Real-time Performance RNN in the Browser Oct 5, 2017 Curtis Hawthorne cghawthorne fjord41 Thanks to the recently-released deeplearn.js environment, you can now enjoy real-time Performance RNN piano performances in the browser. Try the Performance RNN Browser demo deeplearn.js is an open-source Javascript library that enables GPU-based training and evaluation of models in the browser. It includes t
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テクノロジー
●2017/10/07 20:51
●機械学習
●音楽
●music
16users
magenta.tensorflow.org
Performance RNN: Generating Music with Expressive Timing and Dynamics Jun 29, 2017 Ian Simon iansimon iansimon Sageev Oore osageev osageev We present Performance RNN, an LSTM-based recurrent neural network designed to model polyphonic music with expressive timing and dynamics. Here’s an example generated by the model: Note that this isn’t a performance of an existing piece; the model is also choos
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テクノロジー
●2017/06/30 09:14
●機械学習
●あとで読む
7users
magenta.tensorflow.org
Update (01/03/19): Try out the new magic-sketchpad game! Update (08/02/18): sketch-rnn has been ported to TensorFlow.js under the Magenta.js project! Have a look at the new documentation and code. For mobile users on a cellular data connection: The size of this first demo is around 5 MB of data. Everytime you change the model in the demo, you will use another 5 MB of data. We made an interactive w
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テクノロジー
●2017/06/27 18:45
●ai
●google
16users
magenta.tensorflow.org
draw together with a recurrent neural network model
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テクノロジー
●2017/06/27 11:55
●機械学習
●あとで読む
5users
magenta.tensorflow.org
Generate your own sounds with NSynth Jun 19, 2017 Parag Mital pkmital pkmital Editorial Note: One of the best parts of working on the Magenta project is getting to interact with the awesome community of artists and coders. Today, we’re very happy to have a guest blog post by one of those community members, Parag Mital, who has implemented a fast sampler for NSynth to make it easier for everyone to
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テクノロジー
●2017/06/25 14:02
8users
magenta.tensorflow.org
Making a Neural Synthesizer Instrument May 18, 2017 Jesse Engel jesseengel jesseengel In a previous post, we described the details of NSynth (Neural Audio Synthesis), a new approach to audio synthesis using neural networks. We hinted at further releases to enable you to make your own music with these technologies. Today, we’re excited to follow through on that promise by releasing a playable set o
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テクノロジー
●2017/05/19 17:34
●music
7users
magenta.tensorflow.org
Sketch-RNN, a generative model for vector drawings, is now available in Magenta. For an overview of the model, see the Google Research blog from April 2017, Teaching Machines to Draw (David Ha). For the technical machine learning details, see the arXiv paper A Neural Representation of Sketch Drawings (David Ha and Douglas Eck). To try out Sketch-RNN, visit the Magenta GitHub for instructions. We’v
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テクノロジー
●2017/05/19 10:52
●techfeed
●GitHub
●python
●あとで読む
5users
magenta.tensorflow.org
A large-scale and high-quality dataset of annotated musical notes. Download Contents Motivation Description Format Files Example Features Feature Encodings Instrument Sources Instrument Families Note Qualities Example Statistics Instrument Classes Qualitiy Co-occurrences License How to Cite Updates Motivation Recent breakthroughs in generative modeling of images have been predicated on the availab
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テクノロジー
●2017/04/08 11:34
●機械学習
●音楽
14users
magenta.tensorflow.org
One of the goals of Magenta is to use machine learning to develop new avenues of human expression. And so today we are proud to announce NSynth (Neural Synthesizer), a novel approach to music synthesis designed to aid the creative process. Unlike a traditional synthesizer which generates audio from hand-designed components like oscillators and wavetables, NSynth uses deep neural networks to genera
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テクノロジー
●2017/04/07 01:49
●tensorFlow
●DeepLearning
●音楽
●music
3users
magenta.tensorflow.org
Google Creative Lab just released A.I. Duet, an interactive experiment which lets you play a music duet with the computer. You no longer need code or special equipment to play along with a Magenta music generation model. Just point your browser at A.I. Duet and use your laptop keyboard or a MIDI keyboard to make some music. You can learn more by reading Alex Chen’s Google Blog post. A.I. Duet is a
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テクノロジー
●2017/03/16 10:02
43users
magenta.tensorflow.org
An open source research project exploring the role of machine learning as a tool in the creative process. Magenta Studio has been upgraded to more seamlessly integrate with Ableton Live. It is a collection of music creativity tools built on Magenta’s open source models, using cutting-edge machine learning techniques for music generation. Read the blog post.
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テクノロジー
●2016/12/20 07:44
●tensorFlow
●music
●機械学習
●Deep Learning
●AI
●google
●Machine Learning
●音楽
5users
magenta.tensorflow.org
Magenta wins "Best Demo" at NIPS 2016! Dec 16, 2016 Adam Roberts adarob ada_rob The Magenta team is very proud to have been awarded “Best Demo” at the Neural Information Processing Systems conference in Barcelona last week. Here is a short video of the demo in action at the Google Brain office: The demo consists of several components: The Magenta library, which is built with TensorFlow and provide
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テクノロジー
●2016/12/19 10:54
5users
magenta.tensorflow.org
Tuning Recurrent Neural Networks with Reinforcement Learning Nov 9, 2016 Natasha Jaques natashamjaques We are excited to announce our new RL Tuner algorithm, a method for enchancing the performance of an LSTM trained on data using Reinforcement Learning (RL). We create an RL reward function that teaches the model to follow certain rules, while still allowing it to retain information learned from d
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テクノロジー
●2016/11/12 19:07
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