Providing an essential and unique bridge between the theories of signal processing, machine learning and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations. Combining signals and language models in one place, this book explores how sound may be represented and manipulated by computer systems, and how our devices may come to recognize particular sonic patterns as musically meaningful or creative through the lens of information theory. Introducing popular fundamental ideas in AI at a comfortable pace, more complex discussions around implementations and implications in musical creativity are gradually incorporated as the book progresses. Each chapter is accompanied by guided programming activities designed to familiarise readers with practical implications of discussed theory, without the frustrations of free-form coding. Surveying state of the art methods in applications of deep neural networks to audio and sound computing, as well as offering a research perspective that suggests future challenges in music and AI research, this book appeals to both students of AI and music, as well as industry professionals in the fields of machine learning, music and AI.

The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, neural tangent and information theory.This unique reference text complements a largely missing theoretical introduction to neural networks without being overwhelmingly technical in a level accessible to upper-level undergraduate engineering students.Advanced chapters were designed to offer an additional intuition into the field by explaining deep learning from statistical and information theory perspectives. The book further provides additional intuition to the field by relating it to other statistical and information modeling approaches.

Providing an essential and unique bridge between the theories of signal processing, machine learning and artificial intelligence (AI) in music, this book provides a holistic overview of foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations. Combining signals and language models in one place, this book explores how sound may be represented and manipulated by computer systems, and how our devices may come to recognize particular sonic patterns as musically meaningful or creative through the lens of information theory. Introducing popular fundamental ideas in AI at a comfortable pace, more complex discussions around implementations and implications in musical creativity are gradually incorporated as the book progresses. Each chapter is accompanied by guided programming activities designed to familiarise readers with practical implications of discussed theory, without the frustrations of free-form coding. Surveying state of the art methods in applications of deep neural networks to audio and sound computing, as well as offering a research perspective that suggests future challenges in music and AI research, this book appeals to both students of AI and music, as well as industry professionals in the fields of machine learning, music and AI.

Style is a fundamental and ubiquitous aspect of the human experience: Everyone instantly and constantly assesses people and things according to their individual styles, academics establish careers by researching musical, artistic, or architectural styles, and entire industries maintain themselves by continuously creating and marketing new styles. Yet what exactly style is and how it works are elusive: We certainly know it when we see it, but there is no shared and clear understanding of the diverse phenomena that we call style.

The Structure of Style explores this issue from a computational viewpoint, in terms of how information is represented, organized, and transformed in the production and perception of different styles. New computational techniques are now making it possible to model the role of style in the creation of and response to human artifacts-and therefore to develop software systems that directly make use of style in useful ways.

Argamon, Burns, and Dubnov organize the research they have collected in this book according to the three roles that computation can play in stylistics. The first section of the book, Production, provides conceptual foundations by describing computer systems that create artifacts-musical pieces, texts, artworks-in different styles. The second section, Perception, explains methods for analyzing different styles and gleaning useful information, viewing style as a form of communication. The final section, Interaction, deals with reciprocal interaction between style producers and perceivers, in areas such as interactive media, improvised musical accompaniment, and game playing.

The Structure of Style is written for researchers and practitioners in areas including information retrieval, computer art and music, digital humanities, computational linguistics, and artificial intelligence, who can all benefit from this comprehensive overview and in-depth description of current research in this active interdisciplinary field.

The ability to communicate cultural codes in multimedia depends on their meaning and beauty, as perceived by different audiences around the globe. In this book, the ongoing research on computational modeling of visual, musical and textual contents is described in terms of identifying and mapping their semantic representations across different cultures. The underlying psychology of sense-making is quantified through analysis of aesthetics in terms of organizational and structural aspects of the contents that influence an audience's formation of expectations for future signals, violations of these expectations, and explanations of their meaning. Complexity-accuracy tradeoffs in sound representation are further used to develop new computational methods that capture poietic and aesthetic aspects in music communication. Experimental studies are reported that try to characterize preferences for complexity in abstract, classical and traditional art and music across samples of Western and Far Eastern cultures. These experiments illustrate how aesthetics can be computed in terms of semantic and information measures, highlighting commonalities and uncovering differences in aesthetic preferences across cultures and individuals.

Style is a fundamental and ubiquitous aspect of the human experience: Everyone instantly and constantly assesses people and things according to their individual styles, academics establish careers by researching musical, artistic, or architectural styles, and entire industries maintain themselves by continuously creating and marketing new styles. Yet what exactly style is and how it works are elusive: We certainly know it when we see it, but there is no shared and clear understanding of the diverse phenomena that we call style. The Structure of Style explores this issue from a computational viewpoint, in terms of how information is represented, organized, and transformed in the production and perception of different styles. New computational techniques are now making it possible to model the role of style in the creation of and response to human artifacts-and therefore to develop software systems that directly make use of style in useful ways. Argamon, Burns, and Dubnov organize the research they have collected in this book according to the three roles that computation can play in stylistics. The first section of the book, Production, provides conceptual foundations by describing computer systems that create artifacts-musical pieces, texts, artworks-in different styles. The second section, Perception, explains methods for analyzing different styles and gleaning useful information, viewing style as a form of communication. The final section, Interaction, deals with reciprocal interaction between style producers and perceivers, in areas such as interactive media, improvised musical accompaniment, and game playing. The Structure of Style is written for researchers and practitioners in areas including information retrieval, computer art and music, digital humanities, computational linguistics, and artificial intelligence, who can all benefit from this comprehensive overview and in-depth description of current research in this active interdisciplinary field.

The compendium provides an introduction to the theory of deep learning, from basic principles of neural network modeling and optimization to more advanced topics of neural networks as Gaussian processes, neural tangent and information theory.This unique reference text complements a largely missing theoretical introduction to neural networks without being overwhelmingly technical in a level accessible to upper-level undergraduate engineering students.Advanced chapters were designed to offer an additional intuition into the field by explaining deep learning from statistical and information theory perspectives. The book further provides additional intuition to the field by relating it to other statistical and information modeling approaches.

After the 2008 financial crisis, the cultural and psychological imprint that was left appears to be almost as deep as the one that followed the Great Depression. Its legacy includes new radical politics on both the left and the right, epidemics of opioid abuse, suicides, low birthrates, and widespread resentment that is racial, gendered, and otherwise by those who felt especially left behind. Most importantly it saw the rise and global spread of populism. Given that so many politicians of such different stripes can be populist, some argue the term is useless, but with so-called populists on the left and right experiencing a resurgence in the 21st century, the term is once again in the spotlight. There is a need for research on this increase in populist politics, the consequences for democracy, and what, if anything, should be done about this movement. Analyzing Current and Future Global Trends in Populism discusses the global rise of populism and anti-elitism through a look at the history of the term, an exploration of modern populism, and the important events and figures in the movement. This book will measure the levels of populism across citizens and political actors, explore populism's positive consequences, study the rise of populism in national politics, and discuss the future of populism in the 21st century as a major societal movement. This book is ideally intended for professionals and researchers working in the fields of politics, social science, business, and computer science and management, executives in different types of work communities and environments, practitioners, government officials, policymakers, academicians, students, and anyone else interested in populism, the greatest new political and societal movement of the 21st century.

Many scholars have endured the struggle against rising anti-Israel sentiments on college and university campuses worldwide. This volume of personal essays documents and analyzes the deleterious impact of the Boycott, Divestment, and Sanctions (BDS) movement on the most cherished Western institutions. These essays illustrate how anti-Israelism corrodes the academy and its treasured ideals of free speech, civility, respectful discourse, and open research. Nearly every chapter attests to the blurred distinction between anti-Israelism and antisemitism, as well as to hostile learning climates where many Jewish students, staff, and faculty feel increasingly unwelcome and unsafe. Anti-Zionism on Campus provides a testament to the specific ways anti-Israelism manifests on campuses and considers how this chilling and disturbing trend can be combatted.

Many scholars have endured the struggle against rising anti-Israel sentiments on college and university campuses worldwide. This volume of personal essays documents and analyzes the deleterious impact of the Boycott, Divestment, and Sanctions (BDS) movement on the most cherished Western institutions. These essays illustrate how anti-Israelism corrodes the academy and its treasured ideals of free speech, civility, respectful discourse, and open research. Nearly every chapter attests to the blurred distinction between anti-Israelism and antisemitism, as well as to hostile learning climates where many Jewish students, staff, and faculty feel increasingly unwelcome and unsafe. Anti-Zionism on Campus provides a testament to the specific ways anti-Israelism manifests on campuses and considers how this chilling and disturbing trend can be combatted.