Guide to Computing for Expressive Music Performance

Guide to Computing for Expressive Music Performance PDF Author: Alexis Kirke
Publisher: Springer Science & Business Media
ISBN: 1447141237
Category : Computers
Languages : en
Pages : 271

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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.

Guide to Computing for Expressive Music Performance

Guide to Computing for Expressive Music Performance PDF Author: Alexis Kirke
Publisher: Springer Science & Business Media
ISBN: 1447141237
Category : Computers
Languages : en
Pages : 271

Get Book Here

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.

Guide to Computing for Expressive Music Performance

Guide to Computing for Expressive Music Performance PDF Author: Alexis Kirke
Publisher: Springer
ISBN: 9781447141242
Category : Computers
Languages : en
Pages : 262

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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.

Computational Intelligence in Music, Sound, Art and Design

Computational Intelligence in Music, Sound, Art and Design PDF Author: Antonios Liapis
Publisher: Springer
ISBN: 3319775839
Category : Computers
Languages : en
Pages : 326

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Book Description
This book constitutes the refereed proceedings of the 7th International Conference on Evolutionary Computation in Combinatorial Optimization, EvoMUSART 2018, held in Parma, Italy, in April 2018, co-located with the Evo*2017 events EuroGP, EvoCOP and EvoApplications. The 21 revised full papers presented were carefully reviewed and selected from 33 submissions. The papers cover a wide range of topics and application areas, including: generative approaches to music and visual art; medical art therapy; visualization in virtual reality; jewellery design; interactive evolutionary computation; and the art theory of evolutionary computation.

Guide to Unconventional Computing for Music

Guide to Unconventional Computing for Music PDF Author: Eduardo Reck Miranda
Publisher: Springer
ISBN: 3319498819
Category : Computers
Languages : en
Pages : 290

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Book Description
This pioneering text/reference explores how innovative new modes of computation may provide exciting new directions for future developments in the music industry, guiding the reader through the latest research in this emerging, interdisciplinary field. This work includes coverage of electronic music compositions and performances that incorporate unconventional interfacing, hacking and circuit bending. Features: presents an introduction to unconventional computing in music; discusses initiatives involving biophysical electronic music, the work of self-styled silicon luthiers, and the intersection of music and quantum computing; introduces the memristor, a new electronic component with the potential to revolutionize how computers are built; reviews experiments and practical applications of biological memristors in music; describes IMUSIC, an unconventional tone-based programming language, which enables the programming of computers using musical phrases; includes review questions at the end of each chapter.

Machine Learning and Music Generation

Machine Learning and Music Generation PDF Author: José M. Iñesta
Publisher: Routledge
ISBN: 1351234536
Category : Mathematics
Languages : en
Pages : 123

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Book Description
Computational approaches to music composition and style imitation have engaged musicians, music scholars, and computer scientists since the early days of computing. Music generation research has generally employed one of two strategies: knowledge-based methods that model style through explicitly formalized rules, and data mining methods that apply machine learning to induce statistical models of musical style. The five chapters in this book illustrate the range of tasks and design choices in current music generation research applying machine learning techniques and highlighting recurring research issues such as training data, music representation, candidate generation, and evaluation. The contributions focus on different aspects of modeling and generating music, including melody, chord sequences, ornamentation, and dynamics. Models are induced from audio data or symbolic data. This book was originally published as a special issue of the Journal of Mathematics and Music.

Expressiveness in Music Performance

Expressiveness in Music Performance PDF Author: Dorottya Fabian
Publisher: Oxford University Press (UK)
ISBN: 0199659648
Category : Business & Economics
Languages : en
Pages : 423

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Book Description
This book brings together researchers from a range of disciplines that use diverse methodologies to provide new perspectives and formulate answers to questions about the meaning, means, and contextualisation of expressive performance in music.

The Expressive Moment

The Expressive Moment PDF Author: Marc Leman
Publisher: MIT Press
ISBN: 0262550865
Category : Music
Languages : en
Pages : 251

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Book Description
A new way to understand expressive interaction, focusing on the dynamic, fast, pre-reflective processes underlying interactions with music. The expressive moment is that point in time when we grasp a situation and respond quickly, even before we are aware of it. In this book, Marc Leman argues that expression drives this kind of interaction, and he proposes a general framework for understanding expressive interactions. He focuses on the dynamic, fast, and pre-reflective processes underlying our interactions with music—whether we are playing an instrument, dancing, listening, or using new interactive technologies. Music offers a well-established domain for studying these fast and interactive processes, and Leman argues that understanding the power of expressive interaction through music may help us understand cognitive processing in other domains, including language, human action coordination, human-animal interaction, and human-machine interaction. Leman regards expressive interactions with music as energizing and empowering. He argues that music is based on patterns that intervene with a reinforcing loop in the human brain, strengthening learning, motivation, and reward. He argues further that the reinforcing effect is influenced by the interaction flow, by fast processes that handle expressive qualities on the fly. Leman sets out the framework in which expressive interaction is situated, describing, among other things, a pragmatic model of communication in which the fundamental components are enactment and dynamics. He looks in more detail at the cognitive-motivational architecture, discussing sensorimotor and motivational schemes. Finally, he discusses applications for the concepts behind expressive motivation in such fields as sports, entertainment, rehabilitation, multimedia art, and music education.

Music in the Social and Behavioral Sciences

Music in the Social and Behavioral Sciences PDF Author: William Forde Thompson
Publisher: SAGE Publications
ISBN: 1483365581
Category : Reference
Languages : en
Pages : 2364

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Book Description
This definitive reference resource examines how music affects human beings and their interactions in and with the world. The interdisciplinary nature of the work provides a starting place for students to situate the status of music within the social sciences in fields such as anthropology, communications, psychology, linguistics, sociology, sports, political science and economics, as well as biology and the health sciences. Features: Approximately 450 articles, arranged in A-to-Z fashion and richly illustrated with photographs, provide the social and behavioral context for examining the importance of music in society. Entries are authored and signed by experts in the field and conclude with references and further readings, as well as cross references to related entries. A Reader′s Guide groups related entries by broad topic areas and themes, making it easy for readers to quickly identify related entries. A Chronology of Music places material into historical context; a Glossary defines key terms from the field; and a Resource Guide provides lists of books, academic journals, websites and cross-references. The multimedia digital edition is enhanced with video and audio clips and features strong search-and-browse capabilities through the electronic Reader’s Guide, detailed index, and cross references. Music in the Social and Behavioral Sciences, available in both multimedia digital and print formats, is a must-have reference for music and social science library collections. Key Themes: Aesthetics and Emotion Business and Technology Communities and Society Culture and Environment Elements of Musical Examination Evolutionary Psychology Media and Communication Musicianship and Expertise Neuroscience Perception, Memory, Cognition Politics, Economics, Law Therapy, Health, Wellbeing

HHAI 2023: Augmenting Human Intellect

HHAI 2023: Augmenting Human Intellect PDF Author: P. Lukowicz
Publisher: IOS Press
ISBN: 1643683950
Category : Computers
Languages : en
Pages : 556

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Book Description
Artificial intelligence (AI) has been much in the news recently, with some commentators expressing concern that AI might eventually replace humans. But many developments in AI are designed to enhance and supplement the performance of humans rather than replace them, and a novel field of study, with new approaches and solutions to the development of AI, has arisen to focus on this aspect of the technology. This book presents the proceedings of HHAI2023, the 2nd International Conference on Hybrid Human-Artificial Intelligence, held from 26-30 June 2023, in Munich, Germany. The HHAI international conference series is focused on the study of artificially intelligent systems that cooperate synergistically, proactively, responsibly and purposefully with humans, amplifying rather than replacing human intelligence, and invites contributions from various fields, including AI, human-computer interaction, the cognitive and social sciences, computer science, philosophy, among others. A total of 78 submissions were received for the main conference track, and most papers were reviewed by at least three reviewers. The overall final acceptance rate was 43%, with 14 contributions accepted as full papers, 14 as working papers, and 6 as extended abstracts. The papers presented here cover topics including interactive hybrid agents; hybrid intelligence for decision support; hybrid intelligence for health; and values such as fairness and trust in hybrid intelligence. We further accepted 17 posters and 4 demos as well as 8 students to the first HHAI doctoral consortium this year. The authors of 4 working papers and 2 doctoral consortium submissions opted for not publishing their submissions to allow a later full submission, resulting in a total of 57 papers included in this proceedings Addressing all aspects of AI systems that assist humans and emphasizing the need for adaptive, collaborative, responsible, interactive, and human-centered artificial intelligence systems which can leverage human strengths and compensate for human weaknesses while considering social, ethical, and legal considerations, the book will be of interest to all those working in the field.

Foundations in Music Psychology

Foundations in Music Psychology PDF Author: Peter Jason Rentfrow
Publisher: MIT Press
ISBN: 0262039273
Category : Music
Languages : en
Pages : 961

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Book Description
A state-of-the-art overview of the latest theory and research in music psychology, written by leaders in the field. This authoritative, landmark volume offers a comprehensive state-of-the-art overview of the latest theory and research in music perception and cognition. Eminent scholars from a range of disciplines, employing a variety of methodologies, describe important findings from core areas of the field, including music cognition, the neuroscience of music, musical performance, and music therapy. The book can be used as a textbook for courses in music cognition, auditory perception, science of music, psychology of music, philosophy of music, and music therapy, and as a reference for researchers, teachers, and musicians. The book's sections cover music perception; music cognition; music, neurobiology, and evolution; musical training, ability, and performance; and musical experience in everyday life. Chapters treat such topics as pitch, rhythm, and timbre; musical expectancy, musicality, musical disorders, and absolute pitch; brain processes involved in music perception, cross-species studies of music cognition, and music across cultures; improvisation, the assessment of musical ability, and singing; and music and emotions, musical preferences, and music therapy. Contributors Fleur Bouwer, Peter Cariani, Laura K. Cirelli, Annabel J. Cohen, Lola L. Cuddy, Shannon de L'Etoile, Jessica A. Grahn, David M. Greenberg, Bruno Gingras, Henkjan Honing, Lorna S. Jakobson, Ji Chul Kim, Stefan Koelsch, Edward W. Large, Miriam Lense, Daniel Levitin, Charles J. Limb, Psyche Loui, Stephen McAdams, Lucy M. McGarry, Malinda J. McPherson, Andrew J. Oxenham, Caroline Palmer, Aniruddh Patel, Eve-Marie Quintin, Peter Jason Rentfrow, Edward Roth, Frank A. Russo, Rebecca Scheurich, Kai Siedenburg, Avital Sternin, Yanan Sun, William F. Thompson, Renee Timmers, Mark Jude Tramo, Sandra E. Trehub, Michael W. Weiss, Marcel Zentner