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.

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.

This book is a printed edition of the Special Issue "Sound and Music Computing" that was published in Applied Sciences

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.

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.

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.

A new edition of this definitive guide to the Pro Tools system for new and professional users. Extensively illustrated in colour and packed with time saving hints and tips the book takes a real-world approach and shows how to build the right system to suit your needs. Detailed chapters on recording, editing and mixing blend essential knowledge with tutorials and practical examples from actual recordings. This edition features a wealth of new and updated material, including HD systems and Pro Tools 8 software.