Machine Learning And Music Generation

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Deep Learning Techniques for Music Generation

Jean-Pierre Briot,Gaëtan Hadjeres,François-David Pachet
Deep Learning Techniques for Music Generation Book PDF

Author : Jean-Pierre Briot,Gaëtan Hadjeres,François-David Pachet
Publisher : Springer
Page : 284 pages
File Size : 55,7 Mb
Release : 2019-11-08
Category : Computers
ISBN : 9783319701639

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Deep Learning Techniques for Music Generation by Jean-Pierre Briot,Gaëtan Hadjeres,François-David Pachet Pdf

This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. The five dimensions of this framework are: objective (the kind of musical content to be generated, e.g., melody, accompaniment); representation (the musical elements to be considered and how to encode them, e.g., chord, silence, piano roll, one-hot encoding); architecture (the structure organizing neurons, their connexions, and the flow of their activations, e.g., feedforward, recurrent, variational autoencoder); challenge (the desired properties and issues, e.g., variability, incrementality, adaptability); and strategy (the way to model and control the process of generation, e.g., single-step feedforward, iterative feedforward, decoder feedforward, sampling). To illustrate the possible design decisions and to allow comparison and correlation analysis they analyze and classify more than 40 systems, and they discuss important open challenges such as interactivity, originality, and structure. The authors have extensive knowledge and experience in all related research, technical, performance, and business aspects. The book is suitable for students, practitioners, and researchers in the artificial intelligence, machine learning, and music creation domains. The reader does not require any prior knowledge about artificial neural networks, deep learning, or computer music. The text is fully supported with a comprehensive table of acronyms, bibliography, glossary, and index, and supplementary material is available from the authors' website.

Machine Learning and Music Generation

José M. Iñesta,Darrell C. Conklin,Rafael Ramírez-Melendez,Thomas M. Fiore
Machine Learning and Music Generation Book PDF

Author : José M. Iñesta,Darrell C. Conklin,Rafael Ramírez-Melendez,Thomas M. Fiore
Publisher : Routledge
Page : 153 pages
File Size : 40,7 Mb
Release : 2018-10-16
Category : Mathematics
ISBN : 9781351234528

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Machine Learning and Music Generation by José M. Iñesta,Darrell C. Conklin,Rafael Ramírez-Melendez,Thomas M. Fiore Pdf

Computational approaches to music composition and style imitation have engaged musicians, music scholars, and computer scientists since the early days of computing. Music generation research has generally employed one of two strategies: knowledge-based methods that model style through explicitly formalized rules, and data mining methods that apply machine learning to induce statistical models of musical style. The five chapters in this book illustrate the range of tasks and design choices in current music generation research applying machine learning techniques and highlighting recurring research issues such as training data, music representation, candidate generation, and evaluation. The contributions focus on different aspects of modeling and generating music, including melody, chord sequences, ornamentation, and dynamics. Models are induced from audio data or symbolic data. This book was originally published as a special issue of the Journal of Mathematics and Music.

Hands-On Music Generation with Magenta

Alexandre DuBreuil
Hands On Music Generation with Magenta Book PDF

Author : Alexandre DuBreuil
Publisher : Packt Publishing Ltd
Page : 348 pages
File Size : 48,6 Mb
Release : 2020-01-31
Category : Mathematics
ISBN : 9781838825768

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Hands-On Music Generation with Magenta by Alexandre DuBreuil Pdf

Design and use machine learning models for music generation using Magenta and make them interact with existing music creation tools Key FeaturesLearn how machine learning, deep learning, and reinforcement learning are used in music generationGenerate new content by manipulating the source data using Magenta utilities, and train machine learning models with itExplore various Magenta projects such as Magenta Studio, MusicVAE, and NSynthBook Description The importance of machine learning (ML) in art is growing at a rapid pace due to recent advancements in the field, and Magenta is at the forefront of this innovation. With this book, you’ll follow a hands-on approach to using ML models for music generation, learning how to integrate them into an existing music production workflow. Complete with practical examples and explanations of the theoretical background required to understand the underlying technologies, this book is the perfect starting point to begin exploring music generation. The book will help you learn how to use the models in Magenta for generating percussion sequences, monophonic and polyphonic melodies in MIDI, and instrument sounds in raw audio. Through practical examples and in-depth explanations, you’ll understand ML models such as RNNs, VAEs, and GANs. Using this knowledge, you’ll create and train your own models for advanced music generation use cases, along with preparing new datasets. Finally, you’ll get to grips with integrating Magenta with other technologies, such as digital audio workstations (DAWs), and using Magenta.js to distribute music generation apps in the browser. By the end of this book, you'll be well-versed with Magenta and have developed the skills you need to use ML models for music generation in your own style. What you will learnUse RNN models in Magenta to generate MIDI percussion, and monophonic and polyphonic sequencesUse WaveNet and GAN models to generate instrument notes in the form of raw audioEmploy Variational Autoencoder models like MusicVAE and GrooVAE to sample, interpolate, and humanize existing sequencesPrepare and create your dataset on specific styles and instrumentsTrain your network on your personal datasets and fix problems when training networksApply MIDI to synchronize Magenta with existing music production tools like DAWsWho this book is for This book is for technically inclined artists and musically inclined computer scientists. Readers who want to get hands-on with building generative music applications that use deep learning will also find this book useful. Although prior musical or technical competence is not required, basic knowledge of the Python programming language is assumed.

Generative Deep Learning

David Foster
Generative Deep Learning Book PDF

Author : David Foster
Publisher : "O'Reilly Media, Inc."
Page : 360 pages
File Size : 43,9 Mb
Release : 2019-06-28
Category : Computers
ISBN : 9781492041894

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Generative Deep Learning by David Foster Pdf

Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

The Oxford Handbook of Algorithmic Music

Alex McLean,Roger T. Dean
The Oxford Handbook of Algorithmic Music Book PDF

Author : Alex McLean,Roger T. Dean
Publisher : Oxford University Press
Page : 648 pages
File Size : 40,9 Mb
Release : 2018-01-18
Category : Technology & Engineering
ISBN : 9780190227005

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The Oxford Handbook of Algorithmic Music by Alex McLean,Roger T. Dean Pdf

With the ongoing development of algorithmic composition programs and communities of practice expanding, algorithmic music faces a turning point. Joining dozens of emerging and established scholars alongside leading practitioners in the field, chapters in this Handbook both describe the state of algorithmic composition and also set the agenda for critical research on and analysis of algorithmic music. Organized into four sections, chapters explore the music's history, utility, community, politics, and potential for mass consumption. Contributors address such issues as the role of algorithms as co-performers, live coding practices, and discussions of the algorithmic culture as it currently exists and what it can potentially contribute society, education, and ecommerce. Chapters engage particularly with post-human perspectives - what new musics are now being found through algorithmic means which humans could not otherwise have made - and, in reciprocation, how algorithmic music is being assimilated back into human culture and what meanings it subsequently takes. Blending technical, artistic, cultural, and scientific viewpoints, this Handbook positions algorithmic music making as an essentially human activity.

Algorithmic Composition

Gerhard Nierhaus
Algorithmic Composition Book PDF

Author : Gerhard Nierhaus
Publisher : Springer Science & Business Media
Page : 294 pages
File Size : 45,5 Mb
Release : 2009-08-28
Category : Mathematics
ISBN : 9783211755402

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Algorithmic Composition by Gerhard Nierhaus Pdf

Algorithmic composition – composing by means of formalizable methods – has a century old tradition not only in occidental music history. This is the first book to provide a detailed overview of prominent procedures of algorithmic composition in a pragmatic way rather than by treating formalizable aspects in single works. In addition to an historic overview, each chapter presents a specific class of algorithm in a compositional context by providing a general introduction to its development and theoretical basis and describes different musical applications. Each chapter outlines the strengths, weaknesses and possible aesthetical implications resulting from the application of the treated approaches. Topics covered are: markov models, generative grammars, transition networks, chaos and self-similarity, genetic algorithms, cellular automata, neural networks and artificial intelligence are covered. The comprehensive bibliography makes this work ideal for the musician and the researcher alike.

Deep and Shallow

Shlomo Dubnov,Ross Greer
Deep and Shallow Book PDF

Author : Shlomo Dubnov,Ross Greer
Publisher : CRC Press
Page : 345 pages
File Size : 52,9 Mb
Release : 2023-12-08
Category : Computers
ISBN : 9781000984477

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Deep and Shallow by Shlomo Dubnov,Ross Greer Pdf

Provides a holistic overview of the foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations Combines signlas and language models in one place to explore how sound may be represented and manipulated by computer systems More complex discussions are gradually incorporated and each chapter includes guided programming activities to familiarise readers with the discussed theory

Artificial Intelligence in Music, Sound, Art and Design

Juan Romero,Tiago Martins,Nereida Rodríguez-Fernández
Artificial Intelligence in Music Sound Art and Design Book PDF

Author : Juan Romero,Tiago Martins,Nereida Rodríguez-Fernández
Publisher : Springer Nature
Page : 501 pages
File Size : 46,8 Mb
Release : 2021-04-01
Category : Computers
ISBN : 9783030729141

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Artificial Intelligence in Music, Sound, Art and Design by Juan Romero,Tiago Martins,Nereida Rodríguez-Fernández Pdf

This book constitutes the refereed proceedings of the 10th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2021, held as part of Evo* 2021, as Virtual Event, in April 2021, co-located with the Evo* 2021 events, EvoCOP, EvoApplications, and EuroGP. The 24 revised full papers and 7 short papers presented in this book were carefully reviewed and selected from 66 submissions. They cover a wide range of topics and application areas, including generative approaches to music and visual art, deep learning, and architecture.

Handbook of Artificial Intelligence for Music

Eduardo Reck Miranda
Handbook of Artificial Intelligence for Music Book PDF

Author : Eduardo Reck Miranda
Publisher : Springer Nature
Page : 994 pages
File Size : 40,8 Mb
Release : 2021-07-02
Category : Computers
ISBN : 9783030721169

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Handbook of Artificial Intelligence for Music by Eduardo Reck Miranda Pdf

This book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing. Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content.

Soft Computing and Signal Processing

Jiacun Wang,G. Ram Mohana Reddy,V. Kamakshi Prasad,V. Sivakumar Reddy
Soft Computing and Signal Processing Book PDF

Author : Jiacun Wang,G. Ram Mohana Reddy,V. Kamakshi Prasad,V. Sivakumar Reddy
Publisher : Springer
Page : 783 pages
File Size : 54,7 Mb
Release : 2019-02-13
Category : Technology & Engineering
ISBN : 9789811333934

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Soft Computing and Signal Processing by Jiacun Wang,G. Ram Mohana Reddy,V. Kamakshi Prasad,V. Sivakumar Reddy Pdf

The book includes research papers on current developments in the field of soft computing and signal processing, selected from papers presented at the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It features papers on current topics, such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning. It also discusses various aspects of these topics, like technologies, product implementation, and application issues.

Distributed Computing and Artificial Intelligence, 15th International Conference

Fernando De La Prieta,Sigeru Omatu,Antonio Fernández-Caballero
Distributed Computing and Artificial Intelligence 15th International Conference Book PDF

Author : Fernando De La Prieta,Sigeru Omatu,Antonio Fernández-Caballero
Publisher : Springer
Page : 0 pages
File Size : 51,9 Mb
Release : 2018-07-05
Category : Technology & Engineering
ISBN : 331994648X

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Distributed Computing and Artificial Intelligence, 15th International Conference by Fernando De La Prieta,Sigeru Omatu,Antonio Fernández-Caballero Pdf

The 15th International Symposium on Distributed Computing and Artificial Intelligence 2018 (DCAI 2018) is a forum to present applications of innovative techniques for studying and solving complex problems. The exchange of ideas between scientists and technicians from both the academic and industrial sector is essential to facilitate the development of systems that can meet the ever-increasing demands of today’s society. The present edition brings together past experience, current work and promising future trends associated with distributed computing, artificial intelligence and their application in order to provide efficient solutions to real problems. This symposium is organized by the University of Castilla-La Mancha, the Osaka Institute of Technology and the University of Salamanca. The present edition was held in Toledo, Spain, from 20th – 22nd June, 2018.

Mathematics for Machine Learning

Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong
Mathematics for Machine Learning Book PDF

Author : Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong
Publisher : Cambridge University Press
Page : 391 pages
File Size : 48,5 Mb
Release : 2020-04-23
Category : Computers
ISBN : 9781108470049

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Mathematics for Machine Learning by Marc Peter Deisenroth,A. Aldo Faisal,Cheng Soon Ong Pdf

Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.

Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing

Valentina Emilia Balas,Aboul Ella Hassanien,Satyajit Chakrabarti,Lopa Mandal
Proceedings of International Conference on Computational Intelligence Data Science and Cloud Computing Book PDF

Author : Valentina Emilia Balas,Aboul Ella Hassanien,Satyajit Chakrabarti,Lopa Mandal
Publisher : Springer Nature
Page : 795 pages
File Size : 47,7 Mb
Release : 2021
Category : Artificial intelligence
ISBN : 9789813349681

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Proceedings of International Conference on Computational Intelligence, Data Science and Cloud Computing by Valentina Emilia Balas,Aboul Ella Hassanien,Satyajit Chakrabarti,Lopa Mandal Pdf

This book includes selected papers presented at International Conference on Computational Intelligence, Data Science and Cloud Computing (IEM-ICDC) 2020, organized by the Department of Information Technology, Institute of Engineering & Management, Kolkata, India, during 25-27 September 2020. It presents substantial new research findings about AI and robotics, image processing and NLP, cloud computing and big data analytics as well as in cyber security, blockchain and IoT, and various allied fields. The book serves as a reference resource for researchers and practitioners in academia and industry.

Sourdough

Robin Sloan
Sourdough Book PDF

Author : Robin Sloan
Publisher : MCD
Page : 273 pages
File Size : 47,7 Mb
Release : 2017-09-05
Category : Fiction
ISBN : 9780374716431

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Sourdough by Robin Sloan Pdf

From Robin Sloan, the New York Times bestselling author of Mr. Penumbra’s 24-Hour Bookstore, comes Sourdough, "a perfect parable for our times" (San Francisco Magazine): a delicious and funny novel about an overworked and under-socialized software engineer discovering a calling and a community as a baker. Named One of the Best Books of the Year by NPR, the San Francisco Chronicle, and Southern Living Lois Clary is a software engineer at General Dexterity, a San Francisco robotics company with world-changing ambitions. She codes all day and collapses at night, her human contact limited to the two brothers who run the neighborhood hole-in-the-wall from which she orders dinner every evening. Then, disaster! Visa issues. The brothers quickly close up shop. But they have one last delivery for Lois: their culture, the sourdough starter used to bake their bread. She must keep it alive, they tell her—feed it daily, play it music, and learn to bake with it. Lois is no baker, but she could use a roommate, even if it is a needy colony of microorganisms. Soon, not only is she eating her own homemade bread, she’s providing loaves to the General Dexterity cafeteria every day. Then the company chef urges her to take her product to the farmer’s market—and a whole new world opens up.

The Algorithmic Composer

David Cope
The Algorithmic Composer Book PDF

Author : David Cope
Publisher : A-R Editions, Inc.
Page : 320 pages
File Size : 40,7 Mb
Release : 2000-01-01
Category : Music
ISBN : 9780895794543

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The Algorithmic Composer by David Cope Pdf

Accompanying disc contains Melody Predictor (a program), Compose (a program), Fun, Déjà vu (a program), Backtalk, some tutorials, Alice (an interactive program), recorded performances of many of the works presented in the text, and MIDI performances of most of the music in the figures.