Author: Donald P. Pazel
Publisher: Springer Nature
ISBN: 3030974723
Category : Computers
Languages : en
Pages : 341
Book Description
This book takes the reader on a journey through music concepts in an organized approach that develops music essentials from the concepts of tone, pitch, and time, through notes, intervals, chords, and scores while at the same time interpreting these elements as software artifacts. Close attention is paid to the organization of and relationships amongst these concepts and their representation as Python classes and objects, to learn about music from a software design viewpoint. The first part of the book focuses on software representation of the main elements found in music theory. Its objective is to provide direction to students on how to build a music software model from basic concepts and grow towards more complex concepts. Chapter by chapter, music concepts are introduced, and each is broken apart into related data properties and methods with the goal that by the end of this section, the reader will have developed a relatively complete library of music elements in software. The second part takes on the task of applying that foundation to the subject of “music transformations”. The focus is on localized transformations, that is, transformations isolated to a few measures. After a general introduction, the discussion includes topics of pitch assignment, key change, melodic inversion, melodic shaping, harmonic transcription, retrograde, melodic search and dilation. This textbook is designed as a principal or supplemental source for computer science, software engineering, and programming courses. It can also be used as a main textbook for advanced computer music courses or electronic music courses. Computer music software professionals interested in learning how to model the complexities of music theory artifacts, or music students who want to learn advanced programming techniques in their domain will also find the book helpful.
Music Representation and Transformation in Software
Author: Donald P. Pazel
Publisher: Springer Nature
ISBN: 3030974723
Category : Computers
Languages : en
Pages : 341
Book Description
This book takes the reader on a journey through music concepts in an organized approach that develops music essentials from the concepts of tone, pitch, and time, through notes, intervals, chords, and scores while at the same time interpreting these elements as software artifacts. Close attention is paid to the organization of and relationships amongst these concepts and their representation as Python classes and objects, to learn about music from a software design viewpoint. The first part of the book focuses on software representation of the main elements found in music theory. Its objective is to provide direction to students on how to build a music software model from basic concepts and grow towards more complex concepts. Chapter by chapter, music concepts are introduced, and each is broken apart into related data properties and methods with the goal that by the end of this section, the reader will have developed a relatively complete library of music elements in software. The second part takes on the task of applying that foundation to the subject of “music transformations”. The focus is on localized transformations, that is, transformations isolated to a few measures. After a general introduction, the discussion includes topics of pitch assignment, key change, melodic inversion, melodic shaping, harmonic transcription, retrograde, melodic search and dilation. This textbook is designed as a principal or supplemental source for computer science, software engineering, and programming courses. It can also be used as a main textbook for advanced computer music courses or electronic music courses. Computer music software professionals interested in learning how to model the complexities of music theory artifacts, or music students who want to learn advanced programming techniques in their domain will also find the book helpful.
Publisher: Springer Nature
ISBN: 3030974723
Category : Computers
Languages : en
Pages : 341
Book Description
This book takes the reader on a journey through music concepts in an organized approach that develops music essentials from the concepts of tone, pitch, and time, through notes, intervals, chords, and scores while at the same time interpreting these elements as software artifacts. Close attention is paid to the organization of and relationships amongst these concepts and their representation as Python classes and objects, to learn about music from a software design viewpoint. The first part of the book focuses on software representation of the main elements found in music theory. Its objective is to provide direction to students on how to build a music software model from basic concepts and grow towards more complex concepts. Chapter by chapter, music concepts are introduced, and each is broken apart into related data properties and methods with the goal that by the end of this section, the reader will have developed a relatively complete library of music elements in software. The second part takes on the task of applying that foundation to the subject of “music transformations”. The focus is on localized transformations, that is, transformations isolated to a few measures. After a general introduction, the discussion includes topics of pitch assignment, key change, melodic inversion, melodic shaping, harmonic transcription, retrograde, melodic search and dilation. This textbook is designed as a principal or supplemental source for computer science, software engineering, and programming courses. It can also be used as a main textbook for advanced computer music courses or electronic music courses. Computer music software professionals interested in learning how to model the complexities of music theory artifacts, or music students who want to learn advanced programming techniques in their domain will also find the book helpful.
Introduction to Digital Music with Python Programming
Author: Michael S. Horn
Publisher: CRC Press
ISBN: 1000533417
Category : Technology & Engineering
Languages : en
Pages : 290
Book Description
Introduction to Digital Music with Python Programming provides a foundation in music and code for the beginner. It shows how coding empowers new forms of creative expression while simplifying and automating many of the tedious aspects of production and composition. With the help of online, interactive examples, this book covers the fundamentals of rhythm, chord structure, and melodic composition alongside the basics of digital production. Each new concept is anchored in a real-world musical example that will have you making beats in a matter of minutes. Music is also a great way to learn core programming concepts such as loops, variables, lists, and functions, Introduction to Digital Music with Python Programming is designed for beginners of all backgrounds, including high school students, undergraduates, and aspiring professionals, and requires no previous experience with music or code.
Publisher: CRC Press
ISBN: 1000533417
Category : Technology & Engineering
Languages : en
Pages : 290
Book Description
Introduction to Digital Music with Python Programming provides a foundation in music and code for the beginner. It shows how coding empowers new forms of creative expression while simplifying and automating many of the tedious aspects of production and composition. With the help of online, interactive examples, this book covers the fundamentals of rhythm, chord structure, and melodic composition alongside the basics of digital production. Each new concept is anchored in a real-world musical example that will have you making beats in a matter of minutes. Music is also a great way to learn core programming concepts such as loops, variables, lists, and functions, Introduction to Digital Music with Python Programming is designed for beginners of all backgrounds, including high school students, undergraduates, and aspiring professionals, and requires no previous experience with music or code.
Making Music with Computers
Author: Bill Manaris
Publisher: CRC Press
ISBN: 1482222213
Category : Computers
Languages : en
Pages : 496
Book Description
Teach Your Students How to Use Computing to Explore Powerful and Creative IdeasIn the twenty-first century, computers have become indispensable in music making, distribution, performance, and consumption. Making Music with Computers: Creative Programming in Python introduces important concepts and skills necessary to generate music with computers.
Publisher: CRC Press
ISBN: 1482222213
Category : Computers
Languages : en
Pages : 496
Book Description
Teach Your Students How to Use Computing to Explore Powerful and Creative IdeasIn the twenty-first century, computers have become indispensable in music making, distribution, performance, and consumption. Making Music with Computers: Creative Programming in Python introduces important concepts and skills necessary to generate music with computers.
Hands-On Music Generation with Magenta
Author: Alexandre DuBreuil
Publisher: Packt Publishing Ltd
ISBN: 1838825762
Category : Mathematics
Languages : en
Pages : 348
Book Description
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.
Publisher: Packt Publishing Ltd
ISBN: 1838825762
Category : Mathematics
Languages : en
Pages : 348
Book Description
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.
Music Technology and Education
Author: Andrew Brown
Publisher: Routledge
ISBN: 1317935004
Category : Music
Languages : en
Pages : 280
Book Description
Music Technology in Education lays out the principles of music technology and how they can be used to enhance musical teaching and learning in primary and secondary education. Previously published as Computers in Music Education, this second edition has been streamlined to focus on the needs of today’s music education student. It has been completely updated to reflect mobile technologies, social networks, rich media environments, and other technological advances. Topics include: Basic audio concepts and recording techniques Enhanced music instruction with interactive systems, web-based media platforms, social networking, and musicianship software Administration and management of technology resources Distance education and flexible learning Music Technology in Education provides a strong theoretical and philosophical framework for examining the use of technology in music education while outlining the tools and techniques for implementation in the classroom. Reflective Questions, Teaching Tips, and Suggested Tasks link technology with effective teaching practice. The companion website provides resources for deeper investigation into the topics covered in each chapter, and includes an annotated bibliography, website links, tutorials, and model projects.
Publisher: Routledge
ISBN: 1317935004
Category : Music
Languages : en
Pages : 280
Book Description
Music Technology in Education lays out the principles of music technology and how they can be used to enhance musical teaching and learning in primary and secondary education. Previously published as Computers in Music Education, this second edition has been streamlined to focus on the needs of today’s music education student. It has been completely updated to reflect mobile technologies, social networks, rich media environments, and other technological advances. Topics include: Basic audio concepts and recording techniques Enhanced music instruction with interactive systems, web-based media platforms, social networking, and musicianship software Administration and management of technology resources Distance education and flexible learning Music Technology in Education provides a strong theoretical and philosophical framework for examining the use of technology in music education while outlining the tools and techniques for implementation in the classroom. Reflective Questions, Teaching Tips, and Suggested Tasks link technology with effective teaching practice. The companion website provides resources for deeper investigation into the topics covered in each chapter, and includes an annotated bibliography, website links, tutorials, and model projects.
Interactive Multimedia Music Technologies
Author: Ng, Kia
Publisher: IGI Global
ISBN: 1599041529
Category : Computers
Languages : en
Pages : 410
Book Description
"This book illustrates how interactive music can be used for valorizing cultural heritage, content and archives not currently distributed due to lack of safety, suitable coding, or conversion technologies. It explains new methods of promoting music for entertainment, teaching, commercial and non-commercial purposes, and provides new services for those connected via PCs, mobile devices, whether sighted or print-impaired"--Provided by publisher.
Publisher: IGI Global
ISBN: 1599041529
Category : Computers
Languages : en
Pages : 410
Book Description
"This book illustrates how interactive music can be used for valorizing cultural heritage, content and archives not currently distributed due to lack of safety, suitable coding, or conversion technologies. It explains new methods of promoting music for entertainment, teaching, commercial and non-commercial purposes, and provides new services for those connected via PCs, mobile devices, whether sighted or print-impaired"--Provided by publisher.
The Rubato Composer Music Software
Author: Gérard Milmeister
Publisher: Springer Science & Business Media
ISBN: 3642001483
Category : Computers
Languages : en
Pages : 304
Book Description
Both modern mathematical music theory and computer science are strongly influenced by the theory of categories and functors. One outcome of this research is the data format of denotators, which is based on set-valued presheaves over the category of modules and diaffine homomorphisms. The functorial approach of denotators deals with generalized points in the form of arrows and allows the construction of a universal concept architecture. This architecture is ideal for handling all aspects of music, especially for the analysis and composition of highly abstract musical works. This book presents an introduction to the theory of module categories and the theory of denotators, as well as the design of a software system, called Rubato Composer, which is an implementation of the category-theoretic concept framework. The application is written in portable Java and relies on plug-in components, so-called rubettes, which may be combined in data flow networks for the generation and manipulation of denotators. The Rubato Composer system is open to arbitrary extension and is freely available under the GPL license. It allows the developer to build specialized rubettes for tasks that are of interest to composers, who in turn combine them to create music. It equally serves music theorists, who use them to extract information from and manipulate musical structures. They may even develop new theories by experimenting with the many parameters that are at their disposal thanks to the increased flexibility of the functorial concept architecture. Two contributed chapters by Guerino Mazzola and Florian Thalmann illustrate the application of the theory as well as the software in the development of compositional tools and the creation of a musical work with the help of the Rubato framework.
Publisher: Springer Science & Business Media
ISBN: 3642001483
Category : Computers
Languages : en
Pages : 304
Book Description
Both modern mathematical music theory and computer science are strongly influenced by the theory of categories and functors. One outcome of this research is the data format of denotators, which is based on set-valued presheaves over the category of modules and diaffine homomorphisms. The functorial approach of denotators deals with generalized points in the form of arrows and allows the construction of a universal concept architecture. This architecture is ideal for handling all aspects of music, especially for the analysis and composition of highly abstract musical works. This book presents an introduction to the theory of module categories and the theory of denotators, as well as the design of a software system, called Rubato Composer, which is an implementation of the category-theoretic concept framework. The application is written in portable Java and relies on plug-in components, so-called rubettes, which may be combined in data flow networks for the generation and manipulation of denotators. The Rubato Composer system is open to arbitrary extension and is freely available under the GPL license. It allows the developer to build specialized rubettes for tasks that are of interest to composers, who in turn combine them to create music. It equally serves music theorists, who use them to extract information from and manipulate musical structures. They may even develop new theories by experimenting with the many parameters that are at their disposal thanks to the increased flexibility of the functorial concept architecture. Two contributed chapters by Guerino Mazzola and Florian Thalmann illustrate the application of the theory as well as the software in the development of compositional tools and the creation of a musical work with the help of the Rubato framework.
Introduction to Digital Filters
Author: Julius Orion Smith
Publisher: Julius Smith
ISBN: 0974560715
Category : Digital electronics
Languages : en
Pages : 481
Book Description
A digital filter can be pictured as a "black box" that accepts a sequence of numbers and emits a new sequence of numbers. In digital audio signal processing applications, such number sequences usually represent sounds. For example, digital filters are used to implement graphic equalizers and other digital audio effects. This book is a gentle introduction to digital filters, including mathematical theory, illustrative examples, some audio applications, and useful software starting points. The theory treatment begins at the high-school level, and covers fundamental concepts in linear systems theory and digital filter analysis. Various "small" digital filters are analyzed as examples, particularly those commonly used in audio applications. Matlab programming examples are emphasized for illustrating the use and development of digital filters in practice.
Publisher: Julius Smith
ISBN: 0974560715
Category : Digital electronics
Languages : en
Pages : 481
Book Description
A digital filter can be pictured as a "black box" that accepts a sequence of numbers and emits a new sequence of numbers. In digital audio signal processing applications, such number sequences usually represent sounds. For example, digital filters are used to implement graphic equalizers and other digital audio effects. This book is a gentle introduction to digital filters, including mathematical theory, illustrative examples, some audio applications, and useful software starting points. The theory treatment begins at the high-school level, and covers fundamental concepts in linear systems theory and digital filter analysis. Various "small" digital filters are analyzed as examples, particularly those commonly used in audio applications. Matlab programming examples are emphasized for illustrating the use and development of digital filters in practice.
Guide to Computing for Expressive Music Performance
Author: Alexis Kirke
Publisher: Springer Science & Business Media
ISBN: 1447141237
Category : Computers
Languages : en
Pages : 271
Book Description
This book discusses all aspects of computing for expressive performance, from the history of CSEMPs to the very latest research, in addition to discussing the fundamental ideas, and key issues and directions for future research. Topics and features: includes review questions at the end of each chapter; presents a survey of systems for real-time interactive control of automatic expressive music performance, including simulated conducting systems; examines two systems in detail, YQX and IMAP, each providing an example of a very different approach; introduces techniques for synthesizing expressive non-piano performances; addresses the challenges found in polyphonic music expression, from a statistical modelling point of view; discusses the automated analysis of musical structure, and the evaluation of CSEMPs; describes the emerging field of embodied expressive musical performance, devoted to building robots that can expressively perform music with traditional instruments.
Publisher: Springer Science & Business Media
ISBN: 1447141237
Category : Computers
Languages : en
Pages : 271
Book Description
This book discusses all aspects of computing for expressive performance, from the history of CSEMPs to the very latest research, in addition to discussing the fundamental ideas, and key issues and directions for future research. Topics and features: includes review questions at the end of each chapter; presents a survey of systems for real-time interactive control of automatic expressive music performance, including simulated conducting systems; examines two systems in detail, YQX and IMAP, each providing an example of a very different approach; introduces techniques for synthesizing expressive non-piano performances; addresses the challenges found in polyphonic music expression, from a statistical modelling point of view; discusses the automated analysis of musical structure, and the evaluation of CSEMPs; describes the emerging field of embodied expressive musical performance, devoted to building robots that can expressively perform music with traditional instruments.
Interactive Technologies and Music Making
Author: Tracy Redhead
Publisher: CRC Press
ISBN: 104009435X
Category : Technology & Engineering
Languages : en
Pages : 212
Book Description
Challenging current music making approaches which have traditionally relied on the repetition of fixed forms when played, this book provides a new framework for musicians, composers, and producers wanting to explore working with music that can be represented by data and transformed by interactive technologies. Beginning with an exploration into how current interactive technologies, including VR and AR, are affecting music, the book goes on to create an accessible compositional model which articulates the emerging field of ‘transmutable music.’ It then shows how to compose and produce transmutable music for platforms like video games, apps and interactive works, employing tutorials which use a range of inputs from sensors, data, and compositional approaches. The book also offers technical exercises on how to transform data into usable forms (including machine learning techniques) for mapping musical parameters, and discussion points to support learning. This book is a valuable resource for industry professionals wanting to gain an insight into cutting edge new practice, as well as for assisting musicians, composers, and producers with professional development. It is also suitable for students and researchers in the fields of music/audio composition and music/audio production, computer game design, and interactive media.
Publisher: CRC Press
ISBN: 104009435X
Category : Technology & Engineering
Languages : en
Pages : 212
Book Description
Challenging current music making approaches which have traditionally relied on the repetition of fixed forms when played, this book provides a new framework for musicians, composers, and producers wanting to explore working with music that can be represented by data and transformed by interactive technologies. Beginning with an exploration into how current interactive technologies, including VR and AR, are affecting music, the book goes on to create an accessible compositional model which articulates the emerging field of ‘transmutable music.’ It then shows how to compose and produce transmutable music for platforms like video games, apps and interactive works, employing tutorials which use a range of inputs from sensors, data, and compositional approaches. The book also offers technical exercises on how to transform data into usable forms (including machine learning techniques) for mapping musical parameters, and discussion points to support learning. This book is a valuable resource for industry professionals wanting to gain an insight into cutting edge new practice, as well as for assisting musicians, composers, and producers with professional development. It is also suitable for students and researchers in the fields of music/audio composition and music/audio production, computer game design, and interactive media.