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Data-Driven Methods for Adaptive Spoken Dialogue Systems, Oliver Lemon; Olivier Pietquin


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Автор: Oliver Lemon; Olivier Pietquin
Название:  Data-Driven Methods for Adaptive Spoken Dialogue Systems
ISBN: 9781489992833
Издательство: Springer
Классификация:





ISBN-10: 1489992839
Обложка/Формат: Paperback
Страницы: 178
Вес: 0.27 кг.
Дата издания: 09.11.2014
Язык: English
Размер: 234 x 156 x 10
Основная тема: Computer Science
Подзаголовок: Computational Learning for Conversational Interfaces
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Based on dialogue systems freely available for academic use, this book covers state-of-the-art research in data-driven, machine-learning approaches to developing spoken conversational interfaces, collating the data from the EU`s groundbreaking CLASSIC project.


Reinforcement Learning for Adaptive Dialogue Systems

Автор: Rieser, Verena
Название: Reinforcement Learning for Adaptive Dialogue Systems
ISBN: 3642249418 ISBN-13(EAN): 9783642249419
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The past decade has seen a revolution in the field of spoken dialogue systems. As in other areas of Computer Science and Artificial Intelligence, data-driven methods are now being used to drive new methodologies for system development and evaluation. This book is a unique contribution to that ongoing change. A new  methodology for developing spoken dialogue systems is described in detail. The journey starts and ends with human behaviour in interaction, and explores methods for learning from the data, for building simulation environments for training and testing systems, and for evaluating the results. The detailed material covers: Spoken and Multimodal dialogue systems, Wizard-of-Oz data collection, User Simulation methods, Reinforcement Learning, and Evaluation methodologies. The book is a research guide for students and researchers with a background in Computer Science, AI, or Machine Learning. It navigates through a detailed case study in data-driven methods for development and evaluation of spoken dialogue systems. Common challenges associated with this approach are discussed and example solutions are provided. This work provides insights, lessons, and inspiration for future research and development – not only for spoken dialogue systems in particular, but for data-driven approaches to human-machine interaction in general.

Towards Adaptive Spoken Dialog Systems

Автор: Alexander Schmitt; Wolfgang Minker
Название: Towards Adaptive Spoken Dialog Systems
ISBN: 1489991689 ISBN-13(EAN): 9781489991683
Издательство: Springer
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Цена: 16977.00 р.
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Описание: This extensive study of new statistical approaches that allow recognition of negative dialog patterns in SDS fosters a flexible, portable and accurate approach to the topic, using methods based on acoustic, linguistic, and contextual features in spoken dialog.

Reinforcement Learning for Adaptive Dialogue Systems

Автор: Verena Rieser; Oliver Lemon
Название: Reinforcement Learning for Adaptive Dialogue Systems
ISBN: 3642439845 ISBN-13(EAN): 9783642439841
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book contributes to progress in spoken dialogue systems with a new, data-driven methodology. Covers Spoken and Multimodal dialogue systems; Wizard-of-Oz data collection; User Simulation methods; Reinforcement Learning and Evaluation methodologies.

Statistical Methods for Spoken Dialogue Management

Автор: Blaise Thomson
Название: Statistical Methods for Spoken Dialogue Management
ISBN: 1447159292 ISBN-13(EAN): 9781447159292
Издательство: Springer
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Цена: 15672.00 р.
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Описание: Treating dialogue as a problem of inferring a speaker`s intentions based on what is said, this book describes the architecture, the algorithms needed for fast real-time inference over very large networks, model parameter estimation and policy optimisation.

Spoken Dialogue Systems Technology and Design

Автор: Wolfgang Minker; Gary Geunbae Lee; Satoshi Nakamur
Название: Spoken Dialogue Systems Technology and Design
ISBN: 1489982485 ISBN-13(EAN): 9781489982483
Издательство: Springer
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Цена: 30039.00 р.
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Описание: Spoken Dialogue Systems Technology and Design covers key topics in the field of spoken language dialogue interaction from a variety of leading researchers. These topics are all part of the general research and development within the area of discourse and dialogue with an emphasis on dialogue systems;

Introducing Spoken Dialogue Systems into Intelligent Environments

Автор: Tobias Heinroth; Wolfgang Minker
Название: Introducing Spoken Dialogue Systems into Intelligent Environments
ISBN: 1489993207 ISBN-13(EAN): 9781489993205
Издательство: Springer
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Цена: 16977.00 р.
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Описание: Presenting a new framework for managing adaptive spoken dialogue systems that will enhance environmental interactivity, this volume also includes test results on the prototype and detailed data evaluation that represent a significant contribution to research.

Domain-Level Reasoning for Spoken Dialogue Systems

Автор: Dirk B?hler; Wolfgang Minker
Название: Domain-Level Reasoning for Spoken Dialogue Systems
ISBN: 1489991484 ISBN-13(EAN): 9781489991485
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This volume provides a logic-based reasoning component for spoken language dialogue systems. The text describes late-breaking research on next-generation spoken dialogue systems and investigates how to improve them.

Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop

Автор: Ram?n L?pez-C?zar Delgado; Tetsunori Kobayashi
Название: Proceedings of the Paralinguistic Information and its Integration in Spoken Dialogue Systems Workshop
ISBN: 1489987185 ISBN-13(EAN): 9781489987181
Издательство: Springer
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Цена: 36197.00 р.
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Описание:

Looking at the Interaction Management with New Eyes - Conversational Synchrony and Cooperation using Eye Gaze.- Interacting with Purpose (and Feeling!): What Neuropsychology and the Performing Arts Can Tell Us About 'Real' Spoken Language Behaviour.- Accessing Web Resources in Different Languages Using a Multilingual Speech Dialog System.- New Technique for Handling ASR Errors at the Semantic Level in Spoken Dialogue Systems.- Combining Slot-based Vector Space Model for Voice Book Search.- Preprocessing of Dysarthric Speech in Noise Based on CV-Dependent Wiener Filtering.- Conditional Random Fields for Modeling Korean Pronunciation Variation.- An Analysis of the Speech Under Stress Using the Two-Mass Vocal Fold Model.- Domain-Adapted Word Segmentation for an Out-of-Domain Language Modeling.- Analysis on Effects of Text-to-Speech and Avatar Agent in Evoking Users' Spontaneous Listener's Reactions.- Development of a Data-driven Framework for Multimodal Interactive Systems.- Multiparty Conversation Facilitation Strategy Using Combination of Question Answering and Spontaneous Utterances.- Conversational Speech Synthesis System with Communication Situation Dependent HMMs.- An Event-Based Conversational System for the Nao Robot.- Towards Learning Human-Robot Dialogue Policies Combining Speech and Visual Beliefs.- JAM: Java-based Associative Memory.- Conversation Peculiarities of People with Different Verbal Intelligence.- Merging Intention and Emotion to Develop Adaptive Dialogue Systems.- All Users Are (Not) Equal - The Influence of User Characteristics on Perceived Quality, Modality Choice and Performance.- Parallel Computing and Practical Constraints when applying the Standard POMDP Belief Update Formalism to Spoken Dialogue Management.- Ranking Dialog Acts using Discourse Coherence Indicator for Language Tutoring Dialog Systems.- On-line detection of task incompletion for spoken dialog systems using utterance and behavior tag N-gram vectors.- Integration of Statistical Dialog Management Techniques to Implement Commercial Dialog Systems.- A Theoretical Framework for a User-Centered Spoken Dialog Manger.- Using probabilistic logic for dialogue strategy selection.- Starting to Cook a Coaching Dialogue System in the Olympus framework.- Performance of an Ad-hoc User Simulation in a Formative Evaluation of a Spoken Dialog System.- Adapting Dialogue to User Emotion - A Wizard-of-Oz study for adaptation strategies.- SpeechEval: A Domain-Independent User Simulation Platform for Spoken Dialog System Evaluation.- Evaluating User-System Interactional Chains for Naturalness-oriented Spoken Dialogue Systems.- Evaluation of Spoken Dialogue System that uses Utterance Timing to Interpret User Utterances.- How context determines perceived quality and modality choice.- Secondary task paradigm applied to the evaluation of multimodal interfaces.- Design and Implementation of a Toolkit for Evaluation of Spoken Dialogue Systems Designed for AmI Environments.- A Dialogue System for Conversational NPCs.- Embedded Conversational Engine for Natural Language Interaction in Spanish.- Adding Speech to a Robotics Simulator.

Handbook of Multimodal and Spoken Dialogue Systems

Автор: Dafydd Gibbon; Inge Mertins; Roger K. Moore
Название: Handbook of Multimodal and Spoken Dialogue Systems
ISBN: 1461370299 ISBN-13(EAN): 9781461370291
Издательство: Springer
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Цена: 32652.00 р.
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Описание: 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.

Simulation-Based Usability Evaluation of Spoken and Multimodal Dialogue Systems

Автор: Stefan Hillmann
Название: Simulation-Based Usability Evaluation of Spoken and Multimodal Dialogue Systems
ISBN: 3319625179 ISBN-13(EAN): 9783319625171
Издательство: Springer
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Цена: 19564.00 р.
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Описание: The improvement affects the prediction of dialogue metrics that are related to dialogue efficiency and dialogue effectiveness.Furthermore, the book describes a parameter-based data model, as well as a related framework.

Dynamic Data-Driven Environmental Systems Science

Автор: Sai Ravela; Adrian Sandu
Название: Dynamic Data-Driven Environmental Systems Science
ISBN: 3319251376 ISBN-13(EAN): 9783319251370
Издательство: Springer
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Цена: 7826.00 р.
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Описание: Sensing.- Environmental applications.- Reduced representations and features.- data assimilation and uncertainty quantification.- Planning and adaptive observation.

Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes

Автор: Evan L. Russell; Leo H. Chiang; Richard D. Braatz
Название: Data-driven Methods for Fault Detection and Diagnosis in Chemical Processes
ISBN: 1447111338 ISBN-13(EAN): 9781447111337
Издательство: Springer
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Цена: 19591.00 р.
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