Music Representation and Transformation in Software

Structure and Algorithms in Python
1. Auflage 2022
ISBN: 978-3-030-97471-8
Verlag: Springer International Publishing

Buch, Englisch, 333 Seiten, Format (B × H): 178 mm x 254 mm, Gewicht: 670 g

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.

Zielgruppe

Upper undergraduate

Autoren/Hrsg.

Pazel, Donald P.

Fachgebiete

• Geisteswissenschaften Musikwissenschaft Musikwissenschaft Allgemein
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
• Mathematik | Informatik EDV | Informatik Angewandte Informatik Computeranwendungen in Geistes- und Sozialwissenschaften

Inhaltsverzeichnis

Part 1: Representation.- 1. Software Modeling and Object-Oriented Design.- 2. The Chromatic Scale and the Diatonic Foundation.- 3. Intervals.- 4. Modality, Tonality, and Scales.- 5. Time in Music.- 6. The Note and Note Aggregates.- 7. Chords.- 8. Instruments.- 9. Score Representation.- 10. Rendering Score to Midi.- 11. Variable Dynamics and Tempo.- 12. Further Representations.- Part 2: Music Transformations.- 13. An Introduction to Music Transformations.- 14. A Constraint Engine for Pitch Assignment.- 15. Shift: A Transform fKey Change.- 16. Reflection: A Transform for Melodic Inversion.- 17. Reshape: A Transform for Melodic Shaping.- 18. Harmonic Transcription: Preserving Melody Over Harmonic Change.- 19. Retrograde: Reversing a Melody.- 20. Melodic Search and Pattern Substitution.- 21 Dilation: Musical Expansion and Contraction.- 22. The Step Shift Transform andSequences.- 23. Final Thoughts.

Über Autor(innen)

Donald P. Pazel is a computer scientist and software engineer who has worked on a wide diversity of software projects. He was a member of the computer music research team in the Mathematics Department at the IBM TJ Watson Research Center in New York. That work focused on MIDI-based composition software and real-time music modification. Various prototypes were developed during his time there, e.g., MusicSketcher, a prototype application that demonstrated a wide range of music transformational capability. He is also a musician with long-time experience in composition and piano performance. In this book, he develops music theory software based on his music experiences and knowledge of object-oriented and algorithmic programming in Python.