Processing audio in the spectral domain has become a practical proposition for a variety of applications in computer music, composition, and sound design, making it an area of significant interest for musicians, programmers, sound designers, and researchers. While spectral processing has beenexplored already from a variety of perspectives, previous approaches tended to be piecemeal: some dealt with signal processing details, others with a high-level music technology discussion of techniques, some more compositionally focused, and others at music/audio programming concerns. As authorVictor Lazzarini argues, the existing literature has made a good footprint in the area but has failed to integrate these various approaches within spectral audio. In Spectral Sound Design: A Computational Approach, Lazzarini provides an antidote. Spectral Sound Design: A Computational Approach givesauthors a set of practical tools to implement processing techniques and algorithms in a balanced way, covering application aspects as well the fundamental theory that underpins them, within the context of contemporary and electronic music practice. The book employs a mix of C++ for implementation,Python for prototyping, and Csound for deployment and music programming. The tight integration of these three languages as well as the wide scope offered by the combination (going from embedded to supercomputing, and including web-based and mobile applications) makes it the go-to resource to dealwith the practical aspects of the subject.

The first in-depth historical overview of how spectral music arose in France: the most influential European compositional movement of the past fifty years.

Processing audio in the spectral domain has become a practical proposition for a variety of applications in computer music, composition, and sound design, making it an area of significant interest for musicians, programmers, sound designers, and researchers. While spectral processing has been explored already from a variety of perspectives, previous approaches tended to be piecemeal: some dealt with signal processing details, others with a high-level music technology discussion of techniques, some more compositionally focused, and others at music/audio programming concerns. As author Victor Lazzarini argues, the existing literature has made a good footprint in the area but has failed to integrate these various approaches within spectral audio. In Spectral Sound Design: A Computational Approach, Lazzarini provides an antidote. Spectral Sound Design: A Computational Approach gives authors a set of practical tools to implement processing techniques and algorithms in a balanced way, covering application aspects as well the fundamental theory that underpins them, within the context of contemporary and electronic music practice. The book employs a mix of Python for prototyping and Csound for deployment and music programming. The tight integration of these three languages as well as the wide scope offered by the combination (going from embedded to supercomputing, and including web-based and mobile applications) makes it the go-to resource to deal with the practical aspects of the subject.

Marilyn Nonken finds precedent in the works of pianist-composers Liszt, Scriabin and Debussy for spectral attitudes towards the musical experience.

The famous quip I don't know much about art, but I know what I like sums up many people's ideas about how to judge a work of art; but there are inherent limitations if we rely on immediate impressions in judging what should be enduring products of our culture. While some might criticize this as a return to elitism, Joshua Fineberg argues that without some way of determining intrinsic value, there can be no movement forward for creators or their audience. He draws on contemporary thought about Design space and Universal Grammar to show how intrinsic values can be rediscovered. He then looks at the importance of multimedia in allowing multiple points of entry for the discovering of new works, finally showing how the composer can Design music for human beings--creating a kind of art that can preserve the research agenda of conceptual work without renouncing the understanding of human listeners and performers embodied by craft. Classical Music: Why Bother? will intrigue all listeners of contemporary music, students of musical thought, and composers-but it will also interest students of contemporary aesthetics. It answers the age-old question How can we bring a new audience to contemporary art? - and challenges both the creators and their audience to broaden their ideas about what is valuable and lasting in today's culture.

Modernism in music still arouses passions and is riven by controversies. Taking root in the early decades of the twentieth century, it achieved ideological dominance for almost three decades following the Second World War, before becoming the object of widespread critique in the last two decades of the century, both from critics and composers of a postmodern persuasion and from prominent scholars associated with the ‘new musicology’. Yet these critiques have failed to dampen its ongoing resilience. The picture of modernism has considerably broadened and diversified, and has remained a pivotal focus of debate well into the twenty-first century. This Research Companion does not seek to limit what musical modernism might be. At the same time, it resists any dilution of the term that would see its indiscriminate application to practically any and all music of a certain period. In addition to addressing issues already well established in modernist studies such as aesthetics, history, institutions, place, diaspora, cosmopolitanism, production and performance, communication technologies and the interface with postmodernism, this volume also explores topics that are less established; among them: modernism and affect, modernism and comedy, modernism versus the ‘contemporary’, and the crucial distinction between modernism in popular culture and a ‘popular modernism’, a modernism of the people. In doing so, this text seeks to define modernism in music by probing its margins as much as by restating its supposed essence.