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Provides a holistic overview of the foundational ideas in music, from the physical and mathematical properties of sound to symbolic representations Combines signlas and language models in one place to explore how sound may be represented and manipulated by computer systems More complex discussions are gradually incorporated and each chapter includes guided programming activities to familiarise readers with the discussed theory
1. This book is an exposition of the actual and personal consequences of the BDS assault on university campuses. 2. Its authors include a senior scholar in American history and a senior scholar in philosophy. Both are strong followers of the BDS movement on American college and university campus. Pessin maintains a news outlet on matters concerning Jews and Israel. 3. Work on antisemitism is an important component of our Jewish studies list. Books in this area provide a unique contribution to understanding the resurgence of religiously motivated violence and hate speech.
This book presents pedagogical strategies for today’s diverse Israel Studies classrooms. It offers Israel-specific innovations for online teaching, tested methods for organizing global virtual exchanges that uplift marginalized voices in Israel, including Palestinian voices, and an intellectual and political overview of the field. Informed by the author’s experiences in the classroom and principles shared with her by fellow instructors, the book provides a guide to developing an Israel Studies syllabus or integrating Israel Studies units into an existing curriculum
For a decimated post-war West Germany, the electronic music studio at the WDR radio in Cologne was a beacon of hope. Jennifer Iverson's Electronic Inspirations: Technologies of the Cold War Musical Avant-Garde traces the reclamation and repurposing of wartime machines, spaces, and discourses into the new sounds of the mid-century studio. In the 1950s, when technologies were plentiful and the need for reconstruction was great, West Germany began to rebuild its cultural prestige via aesthetic and technical advances. The studio's composers, collaborating with scientists and technicians, coaxed music from sine-tone oscillators, noise generators, band-pass filters, and magnetic tape. Together, they applied core tenets from information theory and phonetics, reclaiming military communication technologies as well as fascist propaganda broadcasting spaces. The electronic studio nurtured a revolutionary synthesis of science, technology, politics, and aesthetics. Its esoteric sounds transformed mid-century music and continue to reverberate today. Electronic music--echoing both cultural anxiety and promise--is a quintessential Cold War innovation.
Machine audition is the study of algorithms and systems for the automatic analysis and understanding of sound by machine. It has recently attracted increasing interest within several research communities, such as signal processing, machine learning, auditory modeling, perception and cognition, psychology, pattern recognition, and artificial intelligence. However, the developments made so far are fragmented within these disciplines, lacking connections and incurring potentially overlapping research activities in this subject area. Machine Audition: Principles, Algorithms and Systems contains advances in algorithmic developments, theoretical frameworks, and experimental research findings. This book is useful for professionals who want an improved understanding about how to design algorithms for performing automatic analysis of audio signals, construct a computing system for understanding sound, and learn how to build advanced human-computer interactive systems.
This book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. They also develop a conceptual framework used to classify and analyze various types of architecture, encoding models, generation strategies, and ways to control the generation. The five dimensions of this framework are: objective (the kind of musical content to be generated, e.g., melody, accompaniment); representation (the musical elements to be considered and how to encode them, e.g., chord, silence, piano roll, one-hot encoding); architecture (the structure organizing neurons, th...
This book constitutes the refereed proceedings of the Third International Conference on Mathematics and Computation in Music, MCM 2011, held in Paris, France, in June 2011. The 24 revised full papers presented and the 12 short papers were carefully reviewed and selected from 62 submissions. The MCM conference is the flagship conference of the Society for Mathematics and Computation in Music. This year’s conference aimed to provide a multi-disciplinary platform dedicated to the communication and exchange of ideas amongst researchers involved in mathematics, computer science, music theory, composition, musicology, or other related disciplines. Areas covered were formalization and geometrical representation of musical structures and processes; mathematical models for music improvisation and gestures theory; set-theoretical and transformational approaches; computational analysis and cognitive musicology as well as more general discussions on history, philosophy and epistemology of music and mathematics.
An Introduction to Audio Content Analysis Enables readers to understand the algorithmic analysis of musical audio signals with AI-driven approaches An Introduction to Audio Content Analysis serves as a comprehensive guide on audio content analysis explaining how signal processing and machine learning approaches can be utilized for the extraction of musical content from audio. It gives readers the algorithmic understanding to teach a computer to interpret music signals and thus allows for the design of tools for interacting with music. The work ties together topics from audio signal processing and machine learning, showing how to use audio content analysis to pick up musical characteristics a...
A multidisciplinary introduction to the field of computational creativity, analyzing the impact of advanced generative technologies on art and music. As algorithms get smarter, what role will computers play in the creation of music, art, and other cultural artifacts? Will they be able to create such things from the ground up, and will such creations be meaningful? In Beyond the Creative Species, Oliver Bown offers a multidisciplinary examination of computational creativity, analyzing the impact of advanced generative technologies on art and music. Drawing on a wide range of disciplines, including artificial intelligence and machine learning, design, social theory, the psychology of creativity, and creative practice research, Bown argues that to understand computational creativity, we must not only consider what computationally creative algorithms actually do, but also examine creative artistic activity itself.
In the last decades, information modelling and knowledge bases have become essentially important subjects, not only in academic communities related to information systems and computer science, but also in the business area where information technology is applied. The 18th European-Japanese Conference on Information Modelling and Knowledge Bases (EJC 2008) continues the series of events that originally started as a cooperation initiative between Japan and Finland. Later, the geographical scope of these conferences expanded to cover the whole of Europe and other countries as well. The EJC conferences constitute a worldwide research forum for the exchange of scientific results and experiences a...