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Author: Blaise Thomson
Publisher: Springer Science & Business Media
ISBN: 1447149238
Category : Technology & Engineering
Languages : en
Pages : 143
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Book Description
Speech is the most natural mode of communication and yet attempts to build systems which support robust habitable conversations between a human and a machine have so far had only limited success. A key reason is that current systems treat speech input as equivalent to a keyboard or mouse, and behaviour is controlled by predefined scripts that try to anticipate what the user will say and act accordingly. But speech recognisers make many errors and humans are not predictable; the result is systems which are difficult to design and fragile in use. Statistical methods for spoken dialogue management takes a radically different view. It treats dialogue as the problem of inferring a user's intentions based on what is said. The dialogue is modelled as a probabilistic network and the input speech acts are observations that provide evidence for performing Bayesian inference. The result is a system which is much more robust to speech recognition errors and for which a dialogue strategy can be learned automatically using reinforcement learning. The thesis describes both the architecture, the algorithms needed for fast real-time inference over very large networks, model parameter estimation and policy optimisation. This ground-breaking work will be of interest both to practitioners in spoken dialogue systems and to cognitive scientists interested in models of human behaviour.
Author: Blaise Thomson
Publisher: Springer Science & Business Media
ISBN: 1447149238
Category : Technology & Engineering
Languages : en
Pages : 143
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Book Description
Speech is the most natural mode of communication and yet attempts to build systems which support robust habitable conversations between a human and a machine have so far had only limited success. A key reason is that current systems treat speech input as equivalent to a keyboard or mouse, and behaviour is controlled by predefined scripts that try to anticipate what the user will say and act accordingly. But speech recognisers make many errors and humans are not predictable; the result is systems which are difficult to design and fragile in use. Statistical methods for spoken dialogue management takes a radically different view. It treats dialogue as the problem of inferring a user's intentions based on what is said. The dialogue is modelled as a probabilistic network and the input speech acts are observations that provide evidence for performing Bayesian inference. The result is a system which is much more robust to speech recognition errors and for which a dialogue strategy can be learned automatically using reinforcement learning. The thesis describes both the architecture, the algorithms needed for fast real-time inference over very large networks, model parameter estimation and policy optimisation. This ground-breaking work will be of interest both to practitioners in spoken dialogue systems and to cognitive scientists interested in models of human behaviour.
Author: Kristina Jokinen
Publisher: Springer Nature
ISBN: 3031021347
Category : Computers
Languages : en
Pages : 151
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Book Description
Considerable progress has been made in recent years in the development of dialogue systems that support robust and efficient human-machine interaction using spoken language. Spoken dialogue technology allows various interactive applications to be built and used for practical purposes, and research focuses on issues that aim to increase the system's communicative competence by including aspects of error correction, cooperation, multimodality, and adaptation in context. This book gives a comprehensive view of state-of-the-art techniques that are used to build spoken dialogue systems. It provides an overview of the basic issues such as system architectures, various dialogue management methods, system evaluation, and also surveys advanced topics concerning extensions of the basic model to more conversational setups. The goal of the book is to provide an introduction to the methods, problems, and solutions that are used in dialogue system development and evaluation. It presents dialogue modelling and system development issues relevant in both academic and industrial environments and also discusses requirements and challenges for advanced interaction management and future research. Table of Contents: Preface / Introduction to Spoken Dialogue Systems / Dialogue Management / Error Handling / Case Studies: Advanced Approaches to Dialogue Management / Advanced Issues / Methodologies and Practices of Evaluation / Future Directions / References / Author Biographies
Author: Erik Marchi
Publisher: Springer Nature
ISBN: 981159323X
Category : Technology & Engineering
Languages : en
Pages : 453
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Book Description
This book compiles and presents a synopsis on current global research efforts to push forward the state of the art in dialogue technologies, including advances to language and context understanding, and dialogue management, as well as human–robot interaction, conversational agents, question answering and lifelong learning for dialogue systems.
Author: Oliver Lemon
Publisher: Springer Science & Business Media
ISBN: 1461448034
Category : Computers
Languages : en
Pages : 184
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Book Description
Data driven methods have long been used in Automatic Speech Recognition (ASR) and Text-To-Speech (TTS) synthesis and have more recently been introduced for dialogue management, spoken language understanding, and Natural Language Generation. Machine learning is now present “end-to-end” in Spoken Dialogue Systems (SDS). However, these techniques require data collection and annotation campaigns, which can be time-consuming and expensive, as well as dataset expansion by simulation. In this book, we provide an overview of the current state of the field and of recent advances, with a specific focus on adaptivity.
Author: K. MEENA
Publisher: PHI Learning Pvt. Ltd.
ISBN: 8120350502
Category : Computers
Languages : en
Pages : 286
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Book Description
Human–Computer Interaction (HCI) is the current challenging issue of research and information technology. The areas of recent research like Usability Engineering, Cognitive Architectures, Spoken Dialogue System and Recommender Systems are covered in the book. Besides, the new dimensions of HCI, such as Ontological Engineering, Ambient Intelligence and Ubiquitous Computing are also introduced. Design methodologies of Spoken Dialogue System and the corresponding mathematic models are also presented, whereas the main emphasis is given on the simple presentation and making the cognition process easier for the learners. The book is an invaluable tool for the undergraduate and postgraduate students of computer science and engineering, and information technology. In addition, it is of immense value for the postgraduate students of computer application. Besides, researchers will be benefitted from Chapter 3 (Modelling of Understanding Process) and Chapter 5 (Recommender Systems) as these are based on the review of cognitive architectures and ontological tools. Software engineers will find the book useful especially for the contents of Chapter 2 (Usability Engineering). Technology innovators will appreciate Chapter 7 (Ambient Intelligence—The New Dimension of Human–Computer Interaction), which discusses advanced technologies, such as Ambient Intelligence, Middleware Technologies and Ubiquitous Computing. Information specialists and web designers will have an interesting experience with Chapter 6 (Advanced Visualisation Methods) that deals with advanced visualisation techniques.
Author: Laila Dybkjær
Publisher: Springer Science & Business Media
ISBN: 1402068212
Category : Language Arts & Disciplines
Languages : en
Pages : 339
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Book Description
The eleven chapters of this book represent an original contribution to the field of multimodal spoken dialogue systems. The material includes highly relevant topics, such as dialogue modeling in research systems versus industrial systems. The book contains detailed application studies, including speech-controlled MP3 players in a car environment, negotiation training with a virtual human in a military context and the application of spoken dialogue to question-answering systems.
Author: Roberto Paredes
Publisher: Springer
ISBN: 3319193902
Category : Computers
Languages : en
Pages : 756
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Book Description
This book constitutes the proceedings of the 7th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2015, held in Santiage de Compostela, Spain, in June 2015. The 83 papers presented in this volume were carefully reviewed and selected from 141 submissions. They were organized in topical sections named: Pattern Recognition and Machine Learning; Computer Vision; Image and Signal Processing; Applications; Medical Image; Pattern Recognition and Machine Learning; Computer Vision; Image and Signal Processing; and Applications
Author: Ramón López-Cózar Delgado
Publisher: Springer Science & Business Media
ISBN: 1461413354
Category : Technology & Engineering
Languages : en
Pages : 388
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Book Description
This volume includes proceedings articles presented at the Workshop on Paralinguistic Information and its Integration in Spoken Dialogue Systems held in Granada, Spain. The material focuses on the three broad areas of spoken dialogue systems for robotics, emotions and spoken dialogue systems, and Spoken dialogue systems for real-world applications The workshop proceedings are part of the 3rd Annual International Workshop on Spoken Dialogue Systems, which brings together researchers from all over the world working in the field of spoken dialogue systems. It provides an international forum for the presentation of research and applications, and for lively discussions among researchers as well as industrialists.
Author: Michael F. McTear
Publisher: Springer Science & Business Media
ISBN: 0857294148
Category : Computers
Languages : en
Pages : 431
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Book Description
Spoken Dialogue Technology provides extensive coverage of spoken dialogue systems, ranging from the theoretical underpinnings of the study of dialogue through to a detailed look at a number of well-established methods and tools for developing spoken dialogue systems. The book enables students and practitioners to design and test dialogue systems using several available development environments and languages, including the CSLU toolkit, VoiceXML, SALT, and XHTML+ voice. This practical orientation is usually available otherwise only in reference manuals supplied with software development kits. The latest research in spoken dialogue systems is presented along with extensive coverage of the most relevant theoretical issues and a critical evaluation of current research prototypes. A dedicated web site containing supplementary materials, code, links to resources will enable readers to develop and test their own systems (). Previously such materials have been difficult to track down, available only on a range of disparate web sites and this web site provides a unique and useful reference source which will prove invaluable.
Author: Kristiina Jokinen
Publisher: John Wiley & Sons
ISBN: 9780470511244
Category : Technology & Engineering
Languages : en
Pages : 178
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Book Description
Dialogue management technology has developed rapidly over the years resulting in real-time applications like telephony directories, timetable enquiries, and in-car applications. However, the current technology is still largely based on models that use rigid command language type interactions, and the users need to adapt their human communication strategies to the needs of the technology. As an increasing number of interactive ubiquitous applications will appear, challenges for interaction technology concern especially natural, more human-friendly communication. Recent research has focused on developing speech-based interactive systems that aim to increase the system’s communicative competence. By including aspects of interaction beyond simple speech recognition and question-answer based interaction, applications with more conversational interfaces have become possible. New dialogue management technology needs to address the challenges in human-technology interaction, so that smart environments should not only enable user-controlled command interfaces but equip applications with a capability that affords easy and friendly interactions with the user. Dialogue Modelling: Speech Interaction and Rational Agents provides an overview of the current dialogue technology and research trends in spoken dialogue systems, presenting a coherent perspective of AI-based cooperative interaction management. The book complements existing research regarding human-computer interfaces, speech and language technology, and communication studies in general, bringing different view-points together and integrating them into a single point of reference. Constructive Dialogue Modelling: Presents a guide to spoken dialogue technology and current research trends. Provides an overview of human factors in dialogue systems and delivers a new metaphor for human-computer interaction and computer as agent. Explains the architecture of dialogue systems using examples from systems such as Interact and DUMAS Offers a comprehensive overview of original research into the new trends in speech dialogue technology in light of innovations such as ubiquitous computing. This book will provide essential reading for industrial designers and interface engineers, university researchers and teachers, computer scientists, human communication researchers, speech and language technologists, cognitive engineers/cognitive scientists, as well as social and media researchers, and psychologists. Advanced students and researchers in computer science, speech and language technologies, psychology and communication research will find this text of interest.
