The communication field is evolving rapidly in order to keep up with society's demands. As such, it becomes imperative to research and report recent advancements in computational intelligence as it applies to communication networks. The Handbook of Research on Recent Developments in Intelligent Communication Application is a pivotal reference source for the latest developments on emerging data communication applications. Featuring extensive coverage across a range of relevant perspectives and topics, such as satellite communication, cognitive radio networks, and wireless sensor networks, this book is ideally designed for engineers, professionals, practitioners, upper-level students, and academics seeking current information on emerging communication networking trends.

Understanding Video Game Music develops a musicology of video game music by providing methods and concepts for understanding music in this medium. From the practicalities of investigating the video game as a musical source to the critical perspectives on game music - using examples including Final Fantasy VII, Monkey Island 2, SSX Tricky and Silent Hill - these explorations not only illuminate aspects of game music, but also provide conceptual ideas valuable for future analysis. Music is not a redundant echo of other textual levels of the game, but central to the experience of interacting with video games. As the author likes to describe it, this book is about music for racing a rally car, music for evading zombies, music for dancing, music for solving puzzles, music for saving the Earth from aliens, music for managing a city, music for being a hero; in short, it is about music for playing.

Although there have been two main perspectives on the nature of music through systematic and cultural musicology, music informatics has emerged as an interdisciplinary research area which provides a different idea on the nature of music through computer technologies. Structuring Music through Markup Language: Designs and Architectures offers a different approach to music by focusing on the information organization and the development of XML-based language. This book aims to offer a new set of tools on for practical implementations and a new investigation into the theory of music.

In the literature of information science, a number of studies have been carried out attempting to model cognitive, affective, behavioral, and contextual factors associated with human information seeking and retrieval. On the other hand, only a few studies have addressed the exploration of creative thinking in music, focusing on understanding and describing individuals' information seeking behavior during the creative process. Trends in Music Information Seeking, Behavior, and Retrieval for Creativity connects theoretical concepts in information seeking and behavior to the music creative process. This publication presents new research, case studies, surveys, and theories related to various aspects of information retrieval and the information seeking behavior of diverse scholarly and professional music communities. Music professionals, theorists, researchers, and students will find this publication an essential resource for their professional and research needs.

It is clear that the digital age has fully embraced music production, distribution, and transcendence for a vivid audience that demands more music both in quantity and versatility. However, the evolving world of digital music production faces a calamity of tremendous proportions: the asymmetrically increasing online piracy that devastates radio stations, media channels, producers, composers, and artists, severely threatening the music industry. Digital Tools for Computer Music Production and Distribution presents research-based perspectives and solutions for integrating computational methods for music production, distribution, and access around the world, in addition to challenges facing the music industry in an age of digital access, content sharing, and crime. Highlighting the changing scope of the music industry and the role of the digital age in such transformations, this publication is an essential resource for computer programmers, sound engineers, language and speech experts, legal experts specializing in music piracy and rights management, researchers, and graduate-level students across disciplines.

The unique research area of audio-visual speech recognition has attracted much interest in recent years as visual information about lip dynamics has been shown to improve the performance of automatic speech recognition systems, especially in noisy environments.""Visual Speech Recognition: Lip Segmentation and Mapping"" presents an up-to-date account of research done in the areas of lip segmentation, visual speech recognition, and speaker identification and verification. A useful reference for researchers working in this field, this book contains the latest research results from renowned experts with in-depth discussion on topics such as visual speaker authentication, lip modeling, and systematic evaluation of lip features.

The future of music archiving and search engines lies in deep learning and big data. Music information retrieval algorithms automatically analyze musical features like timbre, melody, rhythm or musical form, and artificial intelligence then sorts and relates these features. At the first International Symposium on Computational Ethnomusicological Archiving held on November 9 to 11, 2017 at the Institute of Systematic Musicology in Hamburg, Germany, a new Computational Phonogram Archiving standard was discussed as an interdisciplinary approach. Ethnomusicologists, music and computer scientists, systematic musicologists as well as music archivists, composers and musicians presented tools, methods and platforms and shared fieldwork and archiving experiences in the fields of musical acoustics, informatics, music theory as well as on music storage, reproduction and metadata. The Computational Phonogram Archiving standard is also in high demand in the music market as a search engine for music consumers. This book offers a comprehensive overview of the field written by leading researchers around the globe.

The author presents Probatio, a toolkit for building functional DMI (digital musical instruments) prototypes, artifacts in which gestural control and sound production are physically decoupled but digitally mapped. He uses the concept of instrumental inheritance, the application of gestural and/or structural components of existing instruments to generate ideas for new instruments. To support analysis and combination, he then leverages a traditional design method, the morphological chart, in which existing artifacts are split into parts, presented in a visual form and then recombined to produce new ideas. And finally he integrates the concept and the method in a concrete object, a physical prototyping toolkit for building functional DMI prototypes: Probatio. The author's evaluation of this modular system shows it reduces the time required to develop functional prototypes. The book is useful for researchers, practitioners, and graduate students in the areas of musical creativity and human-computer interaction, in particular those engaged in generating, communicating, and testing ideas in complex design spaces.

PRO TOOLS 101 OFFICIAL COURSEWARE takes a comprehensive approach to learning the fundamentals of Pro Tools systems. Now updated for Pro Tools 9 software, this new edition from the definitive authority on Pro Tools covers everything you need to know to complete a Pro Tools project. Learn to build sessions that include multitrack recordings of live instruments, MIDI sequences, software synthesizers, and virtual instruments. Through hands-on tutorials, develop essential techniques for recording, editing, and mixing. The included DVD-ROM offers tutorial files and videos, additional documentation, and Pro Tools sessions to accompany the projects in the text. Developed as the foundation course of the official Avid Pro Tools Certification program, the guide can be used to learn on your own or to pursue formal Pro Tools certification through a an Avid Authorized Training Partner. Join the ranks of audio professionals around the world as you unleash the creative power of your Pro Tools system.

This book explores how the rise of widely available digital technology impacts the way music is produced, distributed, promoted, and consumed, with a specific focus on the changing relationship between artists and audiences. Through in-depth interviewing, focus group interviewing, and discourse analysis, this study demonstrates how digital technology has created a closer, more collaborative, fluid, and multidimensional relationship between artist and audience. Artists and audiences are simultaneously engaged with music through technology-and technology through music-while negotiating personal and social aspects of their musical lives. In light of consistent, active engagement, rising co-production, and collaborative community experience, this book argues we might do better to think of the audience as accomplices to the artist.

Learn how to program JavaScript while creating interactive audio applications with JavaScript for Sound Artists: Learn to Code With the Web Audio API! William Turner and Steve Leonard showcase the basics of JavaScript language programing so that readers can learn how to build browser based audio applications, such as music synthesizers and drum machines. The companion website offers further opportunity for growth. Web Audio API instruction includes oscillators, audio file loading and playback, basic audio manipulation, panning and time. This book encompasses all of the basic features of JavaScript with aspects of the Web Audio API to heighten the capability of any browser. Key Features Uses the readers existing knowledge of audio technology to facilitate learning how to program using JavaScript. The teaching will be done through a series of annotated examples and explanations. Downloadable code examples and links to additional reference material included on the books companion website. This book makes learning programming more approachable to nonprofessional programmers The context of teaching JavaScript for the creative audio community in this manner does not exist anywhere else in the market and uses example-based teaching

This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research.

Provides a comprehensive description and analysis into the use of music information retrieval, from the data management perspective.

This book presents works from world-class experts from academia, industry, and national agencies representing countries from across the world focused on automotive fields for in-vehicle signal processing and safety. These include cutting-edge studies on safety, driver behavior, infrastructure, and human-to-vehicle interfaces. Vehicle Systems, Driver Modeling and Safety is appropriate for researchers, engineers, and professionals working in signal processing for vehicle systems, next generation system design from driver-assisted through fully autonomous vehicles.

This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.

This agenda-setting book presents state of the art research in Music and Human-Computer Interaction (also known as 'Music Interaction'). Music Interaction research is at an exciting and formative stage. Topics discussed include interactive music systems, digital and virtual musical instruments, theories, methodologies and technologies for Music Interaction. Musical activities covered include composition, performance, improvisation, analysis, live coding, and collaborative music making. Innovative approaches to existing musical activities are explored, as well as tools that make new kinds of musical activity possible. Music and Human-Computer Interaction is stimulating reading for professionals and enthusiasts alike: researchers, musicians, interactive music system designers, music software developers, educators, and those seeking deeper involvement in music interaction. It presents the very latest research, discusses fundamental ideas, and identifies key issues and directions for future work.

In December 1974 the first realtime conversation on the ARPAnet took place between Culler-Harrison Incorporated in Goleta, California, and MIT Lincoln Laboratory in Lexington, Massachusetts. This was the first successful application of realtime digital speech communication over a packet network and an early milestone in the explosion of realtime signal processing of speech, audio, images, and video that we all take for granted today. It could be considered as the first voice over Internet Protocol (VoIP), except that the Internet Protocol (IP) had not yet been established. In fact, the interest in realtime signal processing had an indirect, but major, impact on the development of IP. This is the story of the development of linear predictive coded (LPC) speech and how it came to be used in the first successful packet speech experiments. Several related stories are recounted as well. The history is preceded by a tutorial on linear prediction methods which incorporates a variety of views to provide context for the stories. This part is a technical survey of the fundamental ideas of linear prediction that are important for speech processing, but the development departs from traditional treatments and takes advantage of several shortcuts, simplifications, and unifications that come with years of hindsight. In particular, some of the key results are proved using short and simple techniques that are not as well known as they should be, and it also addresses some of the common assumptions made when modeling random signals. Linear Predictive Coding and the Internet Protocol is an insightful and comprehensive review of an underpinning technology of the internet and other packet switched networks. It will be enjoyed by everyone with an interest in past and present real time signal processing on the internet.

Current speech recognition systems are based on speaker independent speech models and suffer from inter-speaker variations in speech signal characteristics. This work develops an integrated approach for speech and speaker recognition in order to gain space for self-learning opportunities of the system. This work introduces a reliable speaker identification which enables the speech recognizer to create robust speaker dependent models In addition, this book gives a new approach to solve the reverse problem, how to improve speech recognition if speakers can be recognized. The speaker identification enables the speaker adaptation to adapt to different speakers which results in an optimal long-term adaptation.

Spoken dialog systems have the potential to offer highly intuitive user interfaces, as they allow systems to be controlled using natural language. However, the complexity inherent in natural language dialogs means that careful testing of the system must be carried out from the very beginning of the design process. This book examines how user models can be used to support such early evaluations in two ways: by running simulations of dialogs, and by estimating the quality judgments of users. First, a design environment supporting the creation of dialog flows, the simulation of dialogs, and the analysis of the simulated data is proposed. How the quality of user simulations may be quantified with respect to their suitability for both formative and summative evaluation is then discussed. The remainder of the book is dedicated to the problem of predicting quality judgments of users based on interaction data. New modeling approaches are presented, which process the dialogs as sequences, and which allow knowledge about the judgment behavior of users to be incorporated into predictions. All proposed methods are validated with example evaluation studies.