People engage in discourse every day - from writing letters and presenting papers to simple discussions. Yet discourse is a complex and fascinating phenomenon that is not well understood. This volume stems from a multidisciplinary workshop in which eminent scholars in linguistics, sociology and computational linguistics presented various aspects of discourse. The topics treated range from multi-party conversational interactions to deconstructing text from various perspectives, considering topic-focus development and discourse structure, and an empirical study of discourse segmentation. The chapters not only describe each author's favorite burning issue in discourse but also provide a fascinating view of the research methodology and style of argumentation in each field.

This book presents details of a text-to-speech synthesis procedure using epoch synchronous overlap add (ESOLA), and provides a solution for development of a text-to-speech system using minimum data resources compared to existing solutions. It also examines most natural speech signals including random perturbation in synthesis. The book is intended for students, researchers and industrial practitioners in the field of text-to-speech synthesis.

Here's a scientific look at computer-generated speech verification and identification -- its underlying technology, practical applications, and future direction. You get a solid background in voice recognition technology to help you make informed decisions on which voice recognition-based software to use in your company or organization. It is unique in its clear explanations of mathematical concepts, as well as its full-chapter presentation of the successful new Multi-Granular Segregating System for accurate, context-free speech identification.

In this book, a novel approach that combines speech-based emotion recognition with adaptive human-computer dialogue modeling is described. With the robust recognition of emotions from speech signals as their goal, the authors analyze the effectiveness of using a plain emotion recognizer, a speech-emotion recognizer combining speech and emotion recognition, and multiple speech-emotion recognizers at the same time. The semi-stochastic dialogue model employed relates user emotion management to the corresponding dialogue interaction history and allows the device to adapt itself to the context, including altering the stylistic realization of its speech. This comprehensive volume begins by introducing spoken language dialogue systems and providing an overview of human emotions, theories, categorization and emotional speech. It moves on to cover the adaptive semi-stochastic dialogue model and the basic concepts of speech-emotion recognition. Finally, the authors show how speech-emotion recognizers can be optimized, and how an adaptive dialogue manager can be implemented. The book, with its novel methods to perform robust speech-based emotion recognition at low complexity, will be of interest to a variety of readers involved in human-computer interaction.

Foreword Looking back the past 30 years. we have seen steady progress made in the area of speech science and technology. I still remember the excitement in the late seventies when Texas Instruments came up with a toy named "Speak-and-Spell" which was based on a VLSI chip containing the state-of-the-art linear prediction synthesizer. This caused a speech technology fever among the electronics industry. Particularly. applications of automatic speech recognition were rigorously attempt ed by many companies. some of which were start-ups founded just for this purpose. Unfortunately. it did not take long before they realized that automatic speech rec ognition technology was not mature enough to satisfy the need of customers. The fever gradually faded away. In the meantime. constant efforts have been made by many researchers and engi neers to improve the automatic speech recognition technology. Hardware capabilities have advanced impressively since that time. In the past few years. we have been witnessing and experiencing the advent of the "Information Revolution." What might be called the second surge of interest to com mercialize speech technology as a natural interface for man-machine communication began in much better shape than the first one. With computers much more powerful and faster. many applications look realistic this time. However. there are still tremendous practical issues to be overcome in order for speech to be truly the most natural interface between humans and machines."

Developments in technology have made it possible for speech output to be used in place of the more usual visual interface in both domestic and commercial devices. Speech can be used in situations where visual attention is occupied, such as when driving a car, or where a task is complex and traditional visual interfaces are not effective, such as programming a video recorder. Speech can also be employed in specialist adaptations for visually impaired people. However, the use of speech has not been universally successful, possibly because the speech interaction is poorly designed. Speech is fundamentally different from text, and a lot of the problems may arise due to simplified text-to-speech conversion. Design of Speech-based Devices considers the problems associated with speech interaction, and offers practical solutions.

Working with Sound is an exploration of the ever-changing working practices of audio development in the era of hybrid collaboration in the games industry. Through learnings from the pre-pandemic remote and isolated worlds of audio work, sound designers, composers and dialogue designers find themselves equipped uniquely to thrive in the hybrid, remote, and studio-based realms of today's fast-evolving working landscapes. With unique insights into navigating the worlds of isolation and collaboration, this book explores ways of thinking and working in this world, equipping the reader with inspiration to sustainably tackle the many stages of the development process. Working with Sound is an essential guide for professionals working in dynamic audio teams of all sizes, as well as the designers, producers, artists, animators and programmers who collaborate closely with their colleagues working on game audio and sound.

This book discusses all aspects of computing for expressive performance, from the history of CSEMPs to the very latest research, in addition to discussing the fundamental ideas, and key issues and directions for future research. Topics and features: includes review questions at the end of each chapter; presents a survey of systems for real-time interactive control of automatic expressive music performance, including simulated conducting systems; examines two systems in detail, YQX and IMAP, each providing an example of a very different approach; introduces techniques for synthesizing expressive non-piano performances; addresses the challenges found in polyphonic music expression, from a statistical modelling point of view; discusses the automated analysis of musical structure, and the evaluation of CSEMPs; describes the emerging field of embodied expressive musical performance, devoted to building robots that can expressively perform music with traditional instruments.

This 2-volume work represents the proceedings of the First European Workshop on Fault Diagnostics, Reliability and Re- lated Knowledge-Based Approaches held in the Island of Rho- des, Greece (August 3l-September 3, 1986). This Workshop was organized in the framework of a joint research project spon- sored by the Commission of the European Communi ties under the Stimulation Action Programme. The principal aim of the Workshop was to bring together people working on the numeric and symbolic (knowledge-based) treatment of reliability and fault diagnosis problems, in order to promote the interaction and exhange of ideas, expe- riences and results in this area. The workshop was a real success, with SS papers presen- ted and 70 participants. A second Workshop of the same na- ture has been decided to be held in Manchester (UMIST), - gland, in April 1987. . The two volumes contain sufficient amount of informa- tion which reflects very well the state-of-the-art of the field, and shows the current tendency towards knowledge-ba- sed (expert systems) and fault-tolerant approaches. Volume 1 contains the contributions on fault diagnostics and reliability issues (numeric treatment), and Vo*lume 2 the contributions on knowledge~based and fault-tolerant techni- ques. We are grateful to the Commission of the European Com- munities for having sponsored the Workshop, and to all au- thors for their high quality contributions and presenta- tions.

* The V.A.S.S.T. Instant Series features a visually oriented, step-by-step instructional style that effectively guides readers through complex processes. * Surround sound is rapidly displacing stereophonic sound as the accepted standard. * This low-price-point book is an easy buy to provide the reader a foundation in the technology that will serve them regardless of the software they chose. Instant Surround Sound demystifies the multichannel process for both musical and visual environments. This comprehensive resource teaches techniques for mixing and encoding for surround sound. It is packed with tips and tricks that help the reader to avoid the most common (and uncommon) pitfalls. This is the fifth title in the new V.A.S.S.T. Instant Series. Music and visual producers can enhance the listening experience and engage their audience more effectively with the improved perceptive involvement of surround sound. Record, process, and deliver effective and stunning surround sound to your listener with the aid of this guide. Packed with useful, accessible information for novice and experienced users alike, you get carefully detailed screenshots, step-by-step directions, and creative suggestions for producing better audio projects.

Voice recognition is here at last. Alexa and other voice assistants have now become widespread and mainstream. Is your app ready for voice interaction? Learn how to develop your own voice applications for Amazon Alexa. Start with techniques for building conversational user interfaces and dialog management. Integrate with existing applications and visual interfaces to complement voice-first applications. The future of human-computer interaction is voice, and we'll help you get ready for it. For decades, voice-enabled computers have only existed in the realm of science fiction. But now the Alexa Skills Kit (ASK) lets you develop your own voice-first applications. Leverage ASK to create engaging and natural user interfaces for your applications, enabling them to listen to users and talk back. You'll see how to use voice and sound as first-class components of user-interface design. We'll start with the essentials of building Alexa voice applications, called skills, including useful tools for creating, testing, and deploying your skills. From there, you can define parameters and dialogs that will prompt users for input in a natural, conversational style. Integrate your Alexa skills with Amazon services and other backend services to create a custom user experience. Discover how to tailor Alexa's voice and language to create more engaging responses and speak in the user's own language. Complement the voice-first experience with visual interfaces for users on screen-based devices. Add options for users to buy upgrades or other products from your application. Once all the pieces are in place, learn how to publish your Alexa skill for everyone to use. Create the future of user interfaces using the Alexa Skills Kit today. What You Need: You will need a computer capable of running the latest version of Node.js, a Git client, and internet access.

Covering the basics of producing great audio tracks to accompany video projects, Using Soundtrack provides recording and editing tips and guidance on noise reduction tools, audio effects, and Final Cut Pro's powerful real-time audio mixer. Readers also learn how Soundtrack can be used to give video projects a professional finish with the addition of custom, royalty-free scoring. Theory is presented on a need-to-know basis and practical tutorials provide hands-on techniques for common tasks, including editing video to audio, editing audio to video, changing the length of a music bed, editing dialog, and mixing dialog with music and sound effects. The accompanying downloadable resources include tutorial lessons and sample media.

Over the last 20 years, approaches to designing speech and language processing algorithms have moved from methods based on linguistics and speech science to data-driven pattern recognition techniques. These techniques have been the focus of intense, fast-moving research and have contributed to significant advances in this field.

Pattern Recognition in Speech and Language Processing offers a systematic, up-to-date presentation of these recent developments. It begins with the fundamentals and recent theoretical advances in pattern recognition, with emphasis on classifier design criteria and optimization procedures. The focus then shifts to the application of these techniques to speech processing, with chapters exploring advances in applying pattern recognition to real speech and audio processing systems. The final section of the book examines topics related to pattern recognition in language processing: topics that represent promising new trends with direct impact on information processing systems for the Web, broadcast news, and other content-rich information resources.

Each self-contained chapter includes figures, tables, diagrams, and references. The collective effort of experts at the forefront of the field, Pattern Recognition in Speech and Language Processing offers in-depth, insightful discussions on new developments and contains a wealth of information integral to the further development of human-machine communications.

A handy source of essential data that every sound technician needs. Whether you are a professional sound engineer, responsible for broadcast or studio recording, or a student on a music technology or sound recording course, you will find this book authoritative and easily accessible.
Adapted from the comprehensive volume, the Audio Engineer's Reference Book (now in its second edition), this pocket-sized reference has been fully revised to cover the very latest technology connected with sound:
Noise measurement
Acoustics
Microphones
Loudspeakers
Mixing equipment
CDs, DAT, MIDI, MiniDisc
Telephony
ISDN
Digital interfacing
Ultrasonics
This second edition also features:
Substantial revisions of chapters on radio microphone frequencies, digital audio tape, and audio measurements.
An extended list of further reading.

Handy pocket-sized reference
Straightforward explanations
Must-have facts and figures for Sound Engineers

This book gives an overview of the research and application of speech technologies in different areas. One of the special characteristics of the book is that the authors take a broad view of the multiple research areas and take the multidisciplinary approach to the topics. One of the goals in this book is to emphasize the application. User experience, human factors and usability issues are the focus in this book.

The interest of AI in problems related to understanding sounds has a rich history dating back to the ARPA Speech Understanding Project in the 1970s. While a great deal has been learned from this and subsequent speech understanding research, the goal of building systems that can understand general acoustic signals--continuous speech and/or non-speech sounds--from unconstrained environments is still unrealized. Instead, there are now systems that understand "clean" speech well in relatively noiseless laboratory environments, but that break down in more realistic, noisier environments. As seen in the "cocktail-party effect," humans and other mammals have the ability to selectively attend to sound from a particular source, even when it is mixed with other sounds. Computers also need to be able to decide which parts of a mixed acoustic signal are relevant to a particular purpose--which part should be interpreted as speech, and which should be interpreted as a door closing, an air conditioner humming, or another person interrupting.
Observations such as these have led a number of researchers to conclude that research on speech understanding and on nonspeech understanding need to be united within a more general framework. Researchers have also begun trying to understand computational auditory frameworks as parts of larger perception systems whose purpose is to give a computer integrated information about the real world. Inspiration for this work ranges from research on how different sensors can be integrated to models of how humans' auditory apparatus works in concert with vision, proprioception, etc. Representing some of the most advanced work on computers understanding speech, this collection of papers covers the work being done to integrate speech and nonspeech understanding in computer systems.

Introduction to Digital Music with Python Programming provides a foundation in music and code for the beginner. It shows how coding empowers new forms of creative expression while simplifying and automating many of the tedious aspects of production and composition. With the help of online, interactive examples, this book covers the fundamentals of rhythm, chord structure, and melodic composition alongside the basics of digital production. Each new concept is anchored in a real-world musical example that will have you making beats in a matter of minutes. Music is also a great way to learn core programming concepts such as loops, variables, lists, and functions, Introduction to Digital Music with Python Programming is designed for beginners of all backgrounds, including high school students, undergraduates, and aspiring professionals, and requires no previous experience with music or code.

This illuminating, engaging book offers an introduction to the art of sound design and postproduction audio, written especially for for directors, producers, sound designers, and teachers without a technical background in sound. Building on over 50 years of combined expertise in teaching, filmmaking, and sound design, experienced instructor and author Peter Rea and sound designer Matthew Polis offer a cogent, clear, and practical overview of sound design principles and practices, from exploring the language and vocabulary of sound to teaching readers how to work with sound professionals, and later to overseeing the edit, mix, and finishing processes. In this book, Rea and Polis focus on creative and practical ways to utilize sound in order to achieve the filmmaker's vision and elevate their films. Balancing practical, experienced-based insight, numerous examples, and unique concepts like storyboarding for sound, A Filmmaker’s Guide to Sound Design arms students, filmmakers, and educators with the knowledge to creatively and confidently navigate their film through the post audio process.

This volume is a direct result of the International Symposium on Japanese Sentence Processing held at Duke University. The symposium provided the first opportunity for researchers in three disciplinary areas from both Japan and the United States to participate in a conference where they could discuss issues concerning Japanese syntactic processing. The goals of the symposium were three-fold:
* to illuminate the mechanisms of Japanese sentence processing from the viewpoints of linguistics, psycholinguistics and computer science;
* to synthesize findings about the mechanisms of Japanese sentence processing by researchers in these three fields in Japan and the United States;
* to lay foundations for future interdisciplinary research in Japanese sentence processing, as well as international collaborations between researchers in Japan and the United States.
The chapters in this volume have been written from the points of view of three different disciplines, with various immediate objectives -- from building usable speech understanding systems to investigating the nature of competence grammars for natural languages. All of the papers share the long term goal of understanding the nature of human language processing mechanisms. The book is concerned with two central issues -- the universality of language processing mechanisms, and the nature of the relation between the components of linguistic knowledge and language processing. This volume demonstrates that interdisciplinary research can be fruitful, and provides groundwork for further research in Japanese sentence processing.

Game Audio Fundamentals takes the reader on a journey through game audio design: from analog and digital audio basics, to the art and execution of sound effects, soundtracks, and voice production, as well as learning how to make sense of a truly effective soundscape. Presuming no pre-existing knowledge, this accessible guide is accompanied by online resources - including practical examples and incremental DAW exercises - and presents the theory and practice of game audio in detail, and in a format anyone can understand. This is essential reading for any aspiring game audio designer, as well as students and professionals from a range of backgrounds, including music, audio engineering, and game design.

- This is the first book for academic podcasters. With theoretical background as well as detailed practical instructions, this book explores the what, why and how of academic podcasting. - Podcasting is becoming an ever-more popular form of both creating knowledge and disseminating research to reach both academic and non-academic audiences. - Competing titles are solely concerned with podcasting as an object of study or as a how-to guide. This book is unique in that it brings together research into a subfield of podcasting, with arguments about why it is a normatively good thing for academia before synthesising this knowledge by detailing how to do it. This is the only book specifically about academic podcasting.

An Introduction to Audio Content Analysis Enables readers to understand the algorithmic analysis of musical audio signals with AI-driven approaches An Introduction to Audio Content Analysis serves as a comprehensive guide on audio content analysis explaining how signal processing and machine learning approaches can be utilized for the extraction of musical content from audio. It gives readers the algorithmic understanding to teach a computer to interpret music signals and thus allows for the design of tools for interacting with music. The work ties together topics from audio signal processing and machine learning, showing how to use audio content analysis to pick up musical characteristics automatically. A multitude of audio content analysis tasks related to the extraction of tonal, temporal, timbral, and intensity-related characteristics of the music signal are presented. Each task is introduced from both a musical and a technical perspective, detailing the algorithmic approach as well as providing practical guidance on implementation details and evaluation. To aid in reader comprehension, each task description begins with a short introduction to the most important musical and perceptual characteristics of the covered topic, followed by a detailed algorithmic model and its evaluation, and concluded with questions and exercises. For the interested reader, updated supplemental materials are provided via an accompanying website. Written by a well-known expert in the music industry, sample topics covered in Introduction to Audio Content Analysis include: Digital audio signals and their representation, common time-frequency transforms, audio features Pitch and fundamental frequency detection, key and chord Representation of dynamics in music and intensity-related features Beat histograms, onset and tempo detection, beat histograms, and detection of structure in music, and sequence alignment Audio fingerprinting, musical genre, mood, and instrument classification An invaluable guide for newcomers to audio signal processing and industry experts alike, An Introduction to Audio Content Analysis covers a wide range of introductory topics pertaining to music information retrieval and machine listening, allowing students and researchers to quickly gain core holistic knowledge in audio analysis and dig deeper into specific aspects of the field with the help of a large amount of references.

This is the third edition of Character Development and Storytelling for Games, a standard work in the field that brings all of the teaching from the first two books up to date and tackles the new challenges of today. Professional game writer and designer Lee Sheldon combines his experience and expertise in this updated edition. New examples, new game types, and new challenges throughout the text highlight the fundamentals of character writing and storytelling. But this book is not just a box of techniques for writers of video games. It is an exploration of the roots of character development and storytelling that readers can trace from Homer to Chaucer to Cervantes to Dickens and even Mozart. Many contemporary writers also contribute insights from books, plays, television, films, and, yes, games. Sheldon and his contributors emphasize the importance of creative instinct and listening to the inner voice that guides successful game writers and designers. Join him on his quest to instruct, inform, and maybe even inspire your next great game.

This book presents recent advances in nonlinear speech processing beyond nonlinear techniques. It shows that it exploits heuristic and psychological models of human interaction in order to succeed in the implementations of socially believable VUIs and applications for human health and psychological support. The book takes into account the multifunctional role of speech and what is "outside of the box" (see Bjoern Schuller's foreword). To this aim, the book is organized in 6 sections, each collecting a small number of short chapters reporting advances "inside" and "outside" themes related to nonlinear speech research. The themes emphasize theoretical and practical issues for modelling socially believable speech interfaces, ranging from efforts to capture the nature of sound changes in linguistic contexts and the timing nature of speech; labors to identify and detect speech features that help in the diagnosis of psychological and neuronal disease, attempts to improve the effectiveness and performance of Voice User Interfaces, new front-end algorithms for the coding/decoding of effective and computationally efficient acoustic and linguistic speech representations, as well as investigations capturing the social nature of speech in signaling personality traits, emotions and improving human machine interactions.