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Intelligent Music Production by Brecht De Man,Ryan Stables,Joshua D. Reiss Pdf
Intelligent Music Production presents the state of the art in approaches, methodologies and systems from the emerging field of automation in music mixing and mastering. This book collects the relevant works in the domain of innovation in music production, and orders them in a way that outlines the way forward: first, covering our knowledge of the music production processes; then by reviewing the methodologies in classification, data collection and perceptual evaluation; and finally by presenting recent advances on introducing intelligence in audio effects, sound engineering processes and music production interfaces. Intelligent Music Production is a comprehensive guide, providing an introductory read for beginners, as well as a crucial reference point for experienced researchers, producers, engineers and developers.
Cloud-Based Music Production by Matthew T. Shelvock Pdf
Cloud-Based Music Production: Samples, Synthesis, and Hip-Hop presents a discussion on cloud-based music-making procedures and the musical competencies required to make hip-hop beats. By investigating how hip-hop producers make music using cloud-based music production libraries, this book reveals how those services impact music production en masse. Cloud-Based Music Production takes the reader through the creation of hip-hop beats from start to finish – from selecting samples and synthesizer presets to foundational mixing practices – and includes analysis and discussion of how various samples and synthesizers work together within an arrangement. Through case studies and online audio examples, Shelvock explains how music producers directly modify the sonic characteristics of hip-hop sounds to suit their tastes and elucidates the psychoacoustic and perceptual impact of these aesthetically nuanced music production tasks. Cloud-Based Music Production will be of interest to musicians, producers, mixers and engineers and also provides essential supplementary reading for music technology courses.
Intelligent Music Information Systems: Tools and Methodologies by Shen, Jialie,Shepherd, John,Cui, Bin,Liu, Ling Pdf
Modern technology and the development of user-centric applications have grown to encompass many of our everyday routines and interests. Such advances in music data management and information retrieval techniques have crossed the boundaries of expertise from researchers to developers to professionals in the music industry. Intelligent Music Information Systems: Tools and Methodologies provides comprehensive description and analysis into the use of music information retrieval from the data management perspective, and thus provides libraries in academic, commercial, and other settings with a complete reference for multimedia system applications.
Handbook of Artificial Intelligence for Music by Eduardo Reck Miranda Pdf
This book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing. Artificial Intelligence (AI) technology permeates the music industry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application: AI for creating the actual musical content.
"Beat by AI: Revolutionizing Music Production" is a pioneering journey through the heart of modern music creation, where artificial intelligence becomes the co-creator of melodies that resonate with the soul. This book demystifies the intersection of AI and music for enthusiasts, producers, and aspiring musicians, offering a clear, engaging guide to navigating this new landscape. Designed for readers of all ages and backgrounds, it simplifies complex concepts without sacrificing depth, ensuring that even fifth graders can grasp the wonders of AI in music production. Chapter Highlights: Introduction to AI in Music Production: Sets the stage for readers, introducing the transformative role of AI in the music industry. Understanding the Basics of AI and Machine Learning: Breaks down AI and machine learning into digestible concepts, explaining their significance in music. Tools and Technologies: Provides an overview of current AI tools reshaping music creation, guiding readers on how to choose the right ones for their needs. AI in Music Composition: Explores how AI is used to generate new melodies, harmonies, and rhythms, offering a glimpse into the future of songwriting. AI in Sound Design and Audio Processing: Delves into the role of AI in creating unique sounds and enhancing audio quality, transforming the listener's experience. Lyrics and Vocal Production: Discusses AI's emerging role in lyric generation and vocal enhancement, pushing the boundaries of traditional music production. AI in Music Performance and Live Production: Examines AI's impact on live performances, creating immersive experiences for audiences worldwide. The Business of AI Music Production: Navigates the evolving landscape of the music business in the age of AI, addressing copyright and monetization. Ethical Considerations and the Future of Music: Raises important ethical questions about AI in music, encouraging a balanced view of technology's role. Getting Started: Practical Guide to Integrating AI into Your Music Production Workflow: Offers actionable advice, tools, and resources for readers to begin their own journey into AI music production. "Beat by AI: Revolutionizing Music Production" is more than just a book; it's an invitation to explore the uncharted melodies of the future, blending human creativity with the endless possibilities of AI. It's a must-read for anyone curious about the next frontier in music production, providing both inspiration and practical knowledge to harness the power of AI in crafting the next hit song or groundbreaking sound.
Lecture Notes in Real-Time Intelligent Systems by Jolanta Mizera-Pietraszko,Pit Pichappan Pdf
Intelligent computing refers greatly to artificial intelligence with the aim at making computer to act as a human. This newly developed area of real-time intelligent computing integrates the aspect of dynamic environments with the human intelligence. This book presents a comprehensive practical and easy to read account which describes current state-of-the art in designing and implementing real-time intelligent computing to robotics, alert systems, IoT, remote access control, multi-agent systems, networking, mobile smart systems, crowd sourcing, broadband systems, cloud computing, streaming data and many other applications areas. The solutions discussed in this book will encourage the researchers and IT professional to put the methods into their practice.
Sequential Decision-Making in Musical Intelligence by Elad Liebman Pdf
Over the past 60 years, artificial intelligence has grown from an academic field of research to a ubiquitous array of tools used in everyday technology. Despite its many recent successes, certain meaningful facets of computational intelligence have yet to be thoroughly explored, such as a wide array of complex mental tasks that humans carry out easily, yet are difficult for computers to mimic. A prime example of a domain in which human intelligence thrives, but machine understanding is still fairly limited, is music. Over recent decades, many researchers have used computational tools to perform tasks like genre identification, music summarization, music database querying, and melodic segmentation. While these are all useful algorithmic solutions, we are still a long way from constructing complete music agents able to mimic (at least partially) the complexity with which humans approach music. One key aspect that hasn't been sufficiently studied is that of sequential decision-making in musical intelligence. Addressing this gap, the book focuses on two aspects of musical intelligence: music recommendation and multi-agent interaction in the context of music. Though motivated primarily by music-related tasks, and focusing largely on people's musical preferences, the work presented in this book also establishes that insights from music-specific case studies can also be applicable in other concrete social domains, such as content recommendation.Showing the generality of insights from musical data in other contexts provides evidence for the utility of music domains as testbeds for the development of general artificial intelligence techniques.Ultimately, this thesis demonstrates the overall value of taking a sequential decision-making approach in settings previously unexplored from this perspective.
Distortion in Music Production by Gary Bromham,Austin Moore Pdf
Distortion in Music Production offers a range of valuable perspectives on how engineers and producers use distortion and colouration as production tools. Readers are provided with detailed and informed considerations on the use of non-linear signal processing, by authors working in a wide array of academic, creative, and professional contexts. Including comprehensive coverage of the process, as well as historical perspectives and future innovations, this book features interviews and contributions from academics and industry practitioners. Distortion in Music Production also explores ways in which music producers can implement the process in their work and how the effect can be used and abused through examination from technical, practical, and musicological perspectives. This text is one of the first to offer an extensive investigation of distortion in music production and constitutes essential reading for students and practitioners working in music production.
The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy by John Macintyre,Jinghua Zhao,Xiaomeng Ma Pdf
This book presents the proceedings of the 2020 2nd International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIoT-2021), online conference, on 30 October 2021. It provides comprehensive coverage of the latest advances and trends in information technology, science and engineering, addressing a number of broad themes, including novel machine learning and big data analytics methods for IoT security, data mining and statistical modelling for the secure IoT and machine learning-based security detecting protocols, which inspire the development of IoT security and privacy technologies. The contributions cover a wide range of topics: analytics and machine learning applications to IoT security; data-based metrics and risk assessment approaches for IoT; data confidentiality and privacy in IoT; and authentication and access control for data usage in IoT. Outlining promising future research directions, the book is a valuable resource for students, researchers and professionals and provides a useful reference guide for newcomers to the IoT security and privacy field.
Innovation in Music: Technology and Creativity by Jan-Olof Gullö,Russ Hepworth-Sawyer,Justin Paterson,Rob Toulson,Mark Marrington Pdf
Innovation in Music: Technology and Creativity is a groundbreaking collection bringing together contributions from instructors, researchers, and professionals. Split into two sections, covering composition and performance, and technology and innovation, this volume offers truly international perspectives on ever-evolving practices. Including chapters on audience interaction, dynamic music methods, AI, and live electronic performances, this is recommended reading for professionals, students, and researchers looking for global insights into the fields of music production, music business, and music technology.
Artificial Intelligence - Intelligent Art? by Eckart Voigts,Robin Markus Auer,Dietmar Elflein,Sebastian Kunas,Jan Röhnert,Christoph Seelinger Pdf
As algorithmic data processing increasingly pervades everyday life, it is also making its way into the worlds of art, literature and music. In doing so, it shifts notions of creativity and evokes non-anthropocentric perspectives on artistic practice. This volume brings together contributions from the fields of cultural studies, literary studies, musicology and sound studies as well as media studies, sociology of technology, and beyond, presenting a truly interdisciplinary, state-of-the-art picture of the transformation of creative practice brought about by various forms of AI.
Intelligent Music Information Systems by Jialie Shen Pdf
Modern technology and the development of user-centric applications have grown to encompass many of our everyday routines and interests. Such advances in music data management and information retrieval techniques have crossed the boundaries of expertise from researchers to developers to professionals in the music industry. Intelligent Music Information Systems: Tools and Methodologies provides comprehensive description and analysis into the use of music information retrieval from the data management perspective, and thus provides libraries in academic, commercial, and other settings with a complete reference for multimedia system applications.
Artificial Intelligence in Music, Sound, Art and Design by Colin Johnson,Nereida Rodríguez-Fernández,Sérgio M. Rebelo Pdf
This book constitutes the refereed proceedings of the 12th European Conference on Artificial Intelligence in Music, Sound, Art and Design, EvoMUSART 2023, held as part of Evo* 2023, in April 2023, co-located with the Evo* 2023 events, EvoCOP, EvoApplications, and EuroGP. The 20 full papers and 7 short papers presented in this book were carefully reviewed and selected from 55 submissions. They cover a wide range of topics and application areas of artificial intelligence, including generative approaches to music and visual art, deep learning, and architecture.
The Musician's Ai Handbook is the most extensive release of its kind, covering every area of music production and promotion that concerns musicians today. Written by renowned author, teacher, producer and engineer Bobby Owsinski.
What AI Can Do by Manuel Cebral-Loureda,Elvira G. Rincón-Flores,Gildardo Sanchez-Ante Pdf
The philosopher Spinoza once asserted that no one knows what a body can do, conceiving an intrinsic bodily power with unknown limits. Similarly, we can ask ourselves about Artificial Intelligence (AI): To what extent is the development of intelligence limited by its technical and material substrate? In other words, what can AI do? The answer is analogous to Spinoza’s: Nobody knows the limit of AI. Critically considering this issue from philosophical, interdisciplinary, and engineering perspectives, respectively, this book assesses the scope and pertinence of AI technology and explores how it could bring about both a better and more unpredictable future. What AI Can Do highlights, at both the theoretical and practical levels, the cross-cutting relevance that AI is having on society, appealing to students of engineering, computer science, and philosophy, as well as all who hold a practical interest in the technology.
