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The Cambridge Guide to Orchestration
Demonstrating not only how to write for orchestra but also how to understand and enjoy a score, The Cambridge Guide to Orchestration is a theoretical and practical guide to instrumentation and orchestration for scholars, professionals and enthusiasts. With detailed information on all the instruments of the orchestra, both past and present, it combines discussion of both traditional and modern playing techniques to give the most complete overview of the subject. It contains fifty reduced scores to be re-orchestrated and a wide range of exercises, which clarify complex subjects such as multiple stops on stringed instruments, harmonics and trombone glissandi. Systematic analysis reveals the orchestration techniques used in original scores, including seven twentieth-century compositions. This Guide also includes tables and lists for quick reference, providing the ranges of commonly used instruments and the musical names and terminology used in English, German, Italian and French.
Metacreation
The first detailed examination of a-life art, where new mediaartists adopt, and adapt, techniques from artificial life.
Deep Learning Techniques for Music Generation
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, th...
Basic Forms in Music
Musical forms are illustrated through representative literature of all periods. Includes complete examples as well as suggestions for further listening and analytical experiences.
Fundamentals of Music Processing
This textbook provides both profound technological knowledge and a comprehensive treatment of essential topics in music processing and music information retrieval. Including numerous examples, figures, and exercises, this book is suited for students, lecturers, and researchers working in audio engineering, computer science, multimedia, and musicology. The book consists of eight chapters. The first two cover foundations of music representations and the Fourier transform—concepts that are then used throughout the book. In the subsequent chapters, concrete music processing tasks serve as a starting point. Each of these chapters is organized in a similar fashion and starts with a general descr...
Acoustic and MIDI Orchestration for the Contemporary Composer
Get complete guidance on both traditional orchestration and modern production techniques with this unique book. With effective explanations and clear illustrations, you will learn how to integrate the traditional approach to orchestration with the modern sequencing techniques and tools available. You will discover how to bridge the two approaches in order to enhance your final production. The accompanying CD includes a comprehensive and wide selection of examples, templates and sounds to allow you to hear the techniques within the book. By covering both approaches, this book provides a comprehensive and solid learning experience that will develop your skills and prove extremely competitive in the music production business.
The Nature of Human Creativity
Brings together the research programs and findings of the twenty-four psychological scientists most cited in major textbooks on creativity.
Algorithmic Composition
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.
