Guide to Computing for Expressive Music Performance

• Corporate Author: SpringerLink (Online service)
• Other Authors: Kirke, Alexis. (Editor), Miranda, Eduardo R. (Editor)
• Format: Electronic
• Language: English
• Published: London : Springer London : Imprint: Springer, 2013.
• Subjects: Computer science.; Multimedia systems.; Artificial intelligence.; Computer simulation.; Information systems.; Music.; Computer Science.; Computer Appl. in Arts and Humanities.; Multimedia Information Systems.; User Interfaces and Human Computer Interaction.; Artificial Intelligence (incl. Robotics).; Simulation and Modeling.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4471-4123-5

Musicians are able to produce an expressive performance of a fixed score by varying the tempo and dynamics of their playing. This is in contrast to computers and sequencers that historically performed tunes in perfect metronomic time, resulting in a mechanic sound. This unique guide/reference pres...

Table of Contents:

• An Overview of Computer Systems for Expressive Music Performance
• Systems for Interactive Control of Computer Generated Music Performance
• Expressive Performance Rendering with Probabilistic Models
• Artificial Evolution of Expressive Performance of Music
• Modelling, Analysing, Identifying and Synthesizing Expressive Popular Music Performances
• Statistical Approach to Automatic Expressive Rendition of Polyphonic Piano Music
• Evaluation of Computer Systems for Expressive Music Performance
• Computational Music Theory and its Applications to Expressive Performance and Composition
• Anthropomorphic Musical Robots Designed to Produce Physically-Embodied Expressive Music Performances.