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1,349 result(s) for "Computer composition (Music)"
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Interactive composition : strategies using Ableton Live and Max for Live
Interactive Composition empowers readers with the skills and insight needed to compose and perform electronic popular music in a variety of popular styles. This book focuses on the implementation of compositional and production concepts with each chapter culminating in a newly composed piece created by the reader using these concepts.
Technology and the Gendering of Music Education
Critical of technologically determinist assumptions underpinning current educational policy, Victoria Armstrong argues that this growing technicism has grave implications for the music classroom where composition is often synonymous with the music technology suite. The use of computers and associated compositional software in music education is frequently decontextualized from cultural and social relationships, thereby ignoring the fact that new technologies are used and developed within existing social spaces that are always already delineated along gender lines. Armstrong suggests these gender-technology relations have a profound effect on the ways adolescents compose music as well as how gendered identities in the technologized music classroom are constructed. Drawing together perspectives from the sociology of science and technology studies (STS) and the sociology of music, Armstrong examines the gendered processes and practices that contribute to how students learn about technology, the repertoire of teacher and student talk, its effect on student confidence and the issue of male control of technological knowledge. Even though girls and female teachers have technological knowledge and skill, the continuing material and symbolic associations of technology with men and masculinity contribute to the perception of women as less able and less interested in all things technological. In light of the fact that music technology is now central to many music-making practices across all sectors of education from primary, secondary through to higher education, this book provides a timely critical analysis that powerfully demonstrates why the relationship between gender and music technology should remain an important empirical consideration.
Deep and shallow : machine learning in music and audio
\"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\"-- Provided by publisher.
Computer-assisted Music Composition Algorithm Design Dependent on Interactive Genetic Algorithm with Interval Fitness
Computer-assisted music composition refers to computer-assisted music composition with the participation of people. However, there are problems such as style and expression. In this paper, a computer-assisted music composition algorithm based on the interactive genetic algorithm with interval fitness is proposed. A new music prediction model is established by integrating melody units and rhythms into traditional models with only notes or rhythms as units. Moreover, the generated music phrases are optimized by the interactive genetic algorithmphrase. The simulation results suggest that the proposed algorithm can generate music phrases quickly with a certain melody logic that conforms to the personal demand of users using a small data set.
Emmy in the key of code
Sixth-grader Emmy tries to find her place in a new school and to figure out how she can create her own kind of music using a computer.
Latent Timbre Synthesis
We present the Latent Timbre Synthesis, a new audio synthesis method using deep learning. The synthesis method allows composers and sound designers to interpolate and extrapolate between the timbre of multiple sounds using the latent space of audio frames. We provide the details of two Variational Autoencoder architectures for the Latent Timbre Synthesis and compare their advantages and drawbacks. The implementation includes a fully working application with a graphical user interface, called interpolate_two , which enables practitioners to generate timbres between two audio excerpts of their selection using interpolation and extrapolation in the latent space of audio frames. Our implementation is open source, and we aim to improve the accessibility of this technology by providing a guide for users with any technical background. Our study includes a qualitative analysis where nine composers evaluated the Latent Timbre Synthesis and the interpolate_two application within their practices.