Intelligent Music Production

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.

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.

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.

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.

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.

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 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.