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This book is based on contributions to the Seventh European Summer School on Language and Speech Communication that was held at KTH in Stockholm, Sweden, in July of 1999 under the auspices of the European Language and Speech Network (ELSNET). The topic of the summer school was "Multimodality in Language and Speech Systems" (MiLaSS). The issue of multimodality in interpersonal, face-to-face communication has been an important research topic for a number of years. With the increasing sophistication of computer-based interactive systems using language and speech, the topic of multimodal interaction has received renewed interest both in terms of human-human interaction and human-machine interaction. Nine lecturers contri buted to the summer school with courses on specialized topics ranging from the technology and science of creating talking faces to human-human communication, which is mediated by computer for the handicapped. Eight of the nine lecturers are represented in this book. The summer school attracted more than 60 participants from Europe, Asia and North America representing not only graduate students but also senior researchers from both academia and industry.
Dictation systems, read-aloud software for the blind, speech control of machinery, geographical information systems with speech input and output, and educational software with `talking head' artificial tutorial agents are already on the market. The field is expanding rapidly, and new methods and applications emerge almost daily. But good sources of systematic information have not kept pace with the body of information needed for development and evaluation of these systems. Much of this information is widely scattered through speech and acoustic engineering, linguistics, phonetics, and experimental psychology. The Handbook of Multimodal and Spoken Dialogue Systems presents current and developing best practice in resource creation for speech input/output software and hardware. This volume brings experts in these fields together to give detailed `how to' information and recommendations on planning spoken dialogue systems, designing and evaluating audiovisual and multimodal systems, and evaluating consumer off-the-shelf products. In addition to standard terminology in the field, the following topics are covered in depth: How to collect high quality data for designing, training, and evaluating multimodal and speech dialogue systems; How to evaluate real-life computer systems with speech input and output; How to describe and model human-computer dialogue precisely and in depth. Also included: The first systematic medium-scale compendium of terminology with definitions. This handbook has been especially designed for the needs of development engineers, decision-makers, researchers, and advanced level students in the fields of speech technology, multimodal interfaces, multimedia, computational linguistics, and phonetics.
Provides a comprehensive and unique examination of global language learning outside of the formal school setting Authored by a prominent team of international experts in their respective fields, The Handbook of Informal Language Learning is a one-of-a-kind reference work and it is a timely and valuable resource for anyone looking to explore informal language learning outside of a formal education environment. It features a comprehensive collection of cutting edge research areas exploring the cultural and historical cases of informal language learning, along with the growing area of digital language learning, and the future of this relevant field in national development and language education. The Handbook of Informal Language Learning examines informal language learning from both theoretical and practical perspectives. Structured across six sections, chapters cover areas of motivation, linguistics, cognition, and multimodality; digital learning, including virtual contexts, gaming, fanfiction, vlogging, mobile devices, and nonformal programs; and media and live contact, including learning through environmental print, tourism/study abroad. The book also provides studies of informal learning in four national contexts, examines the integration of informal and formal classroom learning, and discusses the future of language learning from different perspectives. Edited by respected researchers of computer-mediated communication and second language learning and teacher education Features contributions by leading international scholars reaching out to a global audience Presents an exciting and progressive selection of chapters in a rapidly expanding field of research and teaching Provides a state-of-the-art collection of the theories, as well as the historical, cultural and international cases relating to informal language learning and its future in a digital age Covers 30 key topics that represent pioneering findings and new research The Handbook of Informal Language Learning is an essential resource for researchers, students, and professionals in the fields of language acquisition, English as a second language, and foreign language education.
Gunther Kress, a pioneer in the field of multimodality and the co-author of the bestselling Reading Images, produces a comprehensive theoretical framework for the study of the topic providing sample analyses and suggestions for further reading.
This edited volume provides research-based knowledge on the use, production and assessment of multimodal texts in the teaching and learning of English as an Additional Language (EAL). The book reflects growing interest in research on EAL, with increasing numbers of learners of English worldwide and the growing relevance of EAL to numerous education systems. The volume examines different aspects of English from a multimodal perspective, showcasing empirical research from across five continents and all three levels of education. Applying frameworks based on Multimodal Social Semiotics and Systemic Functional Linguistics, chapters focus on the use and affordances of multimodal texts in pedagogy, literature, culture, text production, assessment and curriculum development connected to EAL. Directing attention to the significance of modes beyond speech and writing in EAL, the volume provides a wide range of perspectives and experiences that can be applied more widely and inspire other practices in the global and diverse field of EAL teaching, learning and assessment. This collection will be of interest to scholars in multimodality, language education, and teacher education.
This volume sign posts several paths of multimodality research and theory-building today. The chapters represent a cross-section of current perspectives on multimodal discourse with a special focus on theoretical and methodological issues (mode hierarchies, modelling semiotic resources as multiple semiotic systems, multimodal corpus annotation). In addition, it discusses a wide range of applications for multimodal description in fields like mathematics, entertainment, education, museum design, medicine and translation.
With the advance of speech, image and video technology, human-computer interaction (HCI) will reach a new phase.In recent years, HCI has been extended to human-machine communication (HMC) and the perceptual user interface (PUI). The final goal in HMC is that the communication between humans and machines is similar to human-to-human communication. Moreover, the machine can support human-to-human communication (e.g. an interface for the disabled). For this reason, various aspects of human communication are to be considered in HMC. The HMC interface, called a multimodal interface, includes different types of input methods, such as natural language, gestures, face and handwriting characters.The nine papers in this book have been selected from the 92 high-quality papers constituting the proceedings of the 2nd International Conference on Multimodal Interface (ICMI '99), which was held in Hong Kong in 1999. The papers cover a wide spectrum of the multimodal interface.
This book provides the readers with retrospective and prospective views with detailed explanations of component technologies, speech recognition, language translation and speech synthesis. Speech-to-speech translation system (S2S) enables to break language barriers, i.e., communicate each other between any pair of person on the glove, which is one of extreme dreams of humankind. People, society, and economy connected by S2S will demonstrate explosive growth without exception. In 1986, Japan initiated basic research of S2S, then the idea spread world-wide and were explored deeply by researchers during three decades. Now, we see S2S application on smartphone/tablet around the world. Computational resources such as processors, memories, wireless communication accelerate this computation-intensive systems and accumulation of digital data of speech and language encourage recent approaches based on machine learning. Through field experiments after long research in laboratories, S2S systems are being well-developed and now ready to utilized in daily life. Unique chapter of this book is end-2-end evaluation by comparing system’s performance and human competence. The effectiveness of the system would be understood by the score of this evaluation. The book will end with one of the next focus of S2S will be technology of simultaneous interpretation for lecture, broadcast news and so on.
The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces-user input involving new media (speech, multi-touch, hand and body gestures, facial expressions, writing) embedded in multimodal-multisensor interfaces. This three-volume handbook is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This third volume focuses on state-of-the-art multimodal language and dialogue processing, including semantic integration of modalities. The development of increasingly expressive embodied agents and robots has become an active test bed for coordinating multimodal dialogue input and output, including processing of language and nonverbal communication. In addition, major application areas are featured for commercializing multimodal-multisensor systems, including automotive, robotic, manufacturing, machine translation, banking, communications, and others. These systems rely heavily on software tools, data resources, and international standards to facilitate their development. For insights into the future, emerging multimodal-multisensor technology trends are highlighted in medicine, robotics, interaction with smart spaces, and similar areas. Finally, this volume discusses the societal impact of more widespread adoption of these systems, such as privacy risks and how to mitigate them. The handbook chapters provide a number of walk-through examples of system design and processing, information on practical resources for developing and evaluating new systems, and terminology and tutorial support for mastering this emerging field. In the final section of this volume, experts exchange views on a timely and controversial challenge topic, and how they believe multimodal-multisensor interfaces need to be equipped to most effectively advance human performance during the next decade.
Multimodal signal processing is an important research and development field that processes signals and combines information from a variety of modalities – speech, vision, language, text – which significantly enhance the understanding, modelling, and performance of human-computer interaction devices or systems enhancing human-human communication. The overarching theme of this book is the application of signal processing and statistical machine learning techniques to problems arising in this multi-disciplinary field. It describes the capabilities and limitations of current technologies, and discusses the technical challenges that must be overcome to develop efficient and user-friendly multimodal interactive systems. With contributions from the leading experts in the field, the present book should serve as a reference in multimodal signal processing for signal processing researchers, graduate students, R&D engineers, and computer engineers who are interested in this emerging field. - Presents state-of-art methods for multimodal signal processing, analysis, and modeling - Contains numerous examples of systems with different modalities combined - Describes advanced applications in multimodal Human-Computer Interaction (HCI) as well as in computer-based analysis and modelling of multimodal human-human communication scenes.