Towards Adaptive Spoken Dialog Systems, Alexander Schmitt; Wolfgang Minker
Автор: Hamidreza Chinaei; Brahim Chaib-draa Название: Building Dialogue POMDPs from Expert Dialogues ISBN: 3319261983 ISBN-13(EAN): 9783319261980 Издательство: Springer Рейтинг: Цена: 9141.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses the Partially Observable Markov Decision Process (POMDP) framework applied in dialogue systems. Starting from scratch, they present the state, the transition model, the observation model and then finally the reward model from unannotated and noisy dialogues.
Автор: Thomas Hempel Название: Usability of Speech Dialog Systems ISBN: 3642097022 ISBN-13(EAN): 9783642097027 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Before designing a speech application system, three key questions have to be answered: who will use it, why and how often? This book focuses on these high-level questions and gives a criteria of when and how to design speech systems. The book goes on to evolve criteria for designing and evaluating successful voice user interfaces.
Автор: G.G. Lee; H.K. Kim; M. Jeong; J.-H. Kim Название: Natural Language Dialog Systems and Intelligent Assistants ISBN: 3319365495 ISBN-13(EAN): 9783319365497 Издательство: Springer Рейтинг: Цена: 11878.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book covers state-of-the-art topics on the practical implementation of Spoken Dialog Systems and intelligent assistants in everyday applications.
Автор: Klaus-Peter Engelbrecht Название: Estimating Spoken Dialog System Quality with User Models ISBN: 3642431917 ISBN-13(EAN): 9783642431913 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book shows how automatic evaluation methods can be applied to Spoken Dialog Systems and integrated in system design. It introduces the MeMo workbench design environment, supporting creation of dialog flows, simulations, summative and formative analysis.
Автор: Verena Rieser; Oliver Lemon Название: Reinforcement Learning for Adaptive Dialogue Systems ISBN: 3642439845 ISBN-13(EAN): 9783642439841 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Rieser, Verena Название: Reinforcement Learning for Adaptive Dialogue Systems ISBN: 3642249418 ISBN-13(EAN): 9783642249419 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
Автор: Oliver Lemon; Olivier Pietquin Название: Data-Driven Methods for Adaptive Spoken Dialogue Systems ISBN: 1489992839 ISBN-13(EAN): 9781489992833 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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.
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.
Автор: Wolfgang Minker; Gary Geunbae Lee; Satoshi Nakamur Название: Spoken Dialogue Systems Technology and Design ISBN: 1489982485 ISBN-13(EAN): 9781489982483 Издательство: Springer Рейтинг: Цена: 30039.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
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;
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.
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