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This book covers state-of-the-art topics on the practical implementation of Spoken Dialog Systems and intelligent assistants in everyday applications. It presents scientific achievements in language processing that result in the development of successful applications and addresses general issues regarding the advances in Spoken Dialog Systems with applications in robotics, knowledge access and communication. Emphasis is placed on the following topics: speaker/language recognition, user modeling / simulation, evaluation of dialog system, multi-modality / emotion recognition from speech, speech data mining, language resource and databases, machine learning for spoken dialog systems and educational and healthcare applications.
List of contents
Rapidly Scaling Dialog Systems with Interactive Learning.- News Navigation System based on Proactive Dialogue Strategy.- Evaluation of Machine-led Error Recovery Strategies for Domain.- Analysis of an Extended Interaction Quality Corpus.- HALEF: An Open-Source Standard-Compliant Telephony-based Modular Spoken Dialog System - A Review and an Outlook.- Micro-Counseling Dialog System based on Semantic Content.- Users' Belief Awareness in Reinforcement Learning-based Situated Human-Robot Dialogue Management.- Scalable Summary-State POMDP Hybrid Dialog System for Multiple Goal Drifting Requests and Massive Slot Entity Instances.- A Voice QR Code for Mobile Devices.- Detecting Multiple Domains from Users Utterance in Spoken Dialog System.- Diet Talk: Diet and Health Assistant Based on Spoken Dialog System.- Lexicon Optimization for WFST-Based Speech Recognition Using Acoustic Distance Based Confusability Measure and G2P Conversion.- Linguistic Individuality Transformation for Spoken Language.- A Study on Natural Expressive Speech: Automatic Memorable Spoken Quote Detection.- Evaluation of a Fully Automatic Cooperative Persuasive Dialogue System.- Unknown Word Detection based on Event-Related Brain Desynchronization Responses.- An Analysis Towards Dialogue-based Deception Detection.- Pair Me Up: A Web Framework for Crowd-Sourced Spoken Dialogue Collection.- Creating a Virtual Neighbor.- Decision Making Strategies for Finite State Bi-Automaton in Dialog Management.- Rapidly Scaling Dialog Systems with Interactive Learning.- News Navigation System based on Proactive Dialogue Strategy.- Evaluation of Machine-led Error Recovery Strategies for Domain Switches in a Spoken Dialog System.- Analysis of an Extended Interaction Quality Corpus.- HALEF: An Open-Source Standard-Compliant Telephony-based Modular Spoken Dialog System - A Review and an Outlook.- Micro-Counseling Dialog System based on Semantic Content.- Users' Belief Awareness in Reinforcement Learning-basedSituated Human-Robot Dialogue Management.- Scalable Summary-State POMDP Hybrid Dialog System for Multiple Goal Drifting Requests and Massive Slot Entity Instances.- A Voice QR Code for Mobile Devices.- Detecting Multiple Domains from Users Utterance in Spoken Dialog System.- Diet Talk: Diet and Health Assistant Based on Spoken Dialog System.- Lexicon Optimization for WFST-Based Speech Recognition Using Acoustic Distance Based Confusability Measure and G2P Conversion.- Linguistic Individuality Transformation for Spoken Language.- A Study on Natural Expressive Speech: Automatic Memorable Spoken Quote Detection.- Evaluation of a Fully Automatic Cooperative Persuasive Dialogue System.- Unknown Word Detection based on Event-Related Brain Desynchronization Responses.- An Analysis Towards Dialogue-based Deception Detection.- Pair Me Up: A Web Framework for Crowd-Sourced Spoken Dialogue Collection.- Devault Creating a Virtual Neighbor.- Decision Making Strategies for Finite State Bi-Automaton in Dialog Management.
Summary
This book covers state-of-the-art topics on the practical implementation of Spoken Dialog Systems and intelligent assistants in everyday applications. It presents scientific achievements in language processing that result in the development of successful applications and addresses general issues regarding the advances in Spoken Dialog Systems with applications in robotics, knowledge access and communication. Emphasis is placed on the following topics: speaker/language recognition, user modeling / simulation, evaluation of dialog system, multi-modality / emotion recognition from speech, speech data mining, language resource and databases, machine learning for spoken dialog systems and educational and healthcare applications.
