The trumpet, like any other brass instrument, can be difficult. It takes years of proper practice to gain command of the fundamentals. In order to fully develop, you must adopt a daily maintenance routine. If you are familiar with doing a routine, then you know that the majority of the exercises stem from the classical world and are often done before any music is even played. This method works well for many players and if adopted, can be a valuable aid to your jazz playing. Trumpet Synthesis is a collection of exercises designed to mesh jazz style with classical technique. In order for the jazz student to achieve success, jazz style must be incorporated into the fundamentals of trumpet playing, allowing the student to develop both stylistically and musically. This collection of exercises can be used as a routine in itself, or to augment a pre-existing routine. The intentions of this book are to: 1) Provide exercises that allow you to develop / maintain jazz style and great technique, and 2) Encourage more efficient practice.

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.

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.

Approx.542 pages

Virtual environments such as games and animated and "real" movies require realistic sound effects that can be integrated by computer synthesis. The book emphasizes physical modeling of sound and focuses on real-world interactive sound effects. It is intended for game developers, graphics programmers, developers of virtual reality systems and traini