Situated Dialog in Speech-Based Human-Computer Interaction

Situated Dialog in Speech-Based Human-Computer Interaction

Rudnicky, Alexander; Lane, Ian; Misu, Teruhisa; Raux, Antoine

Springer International Publishing AG

09/2018

225

Mole

Inglês

9783319793658

15 a 20 dias

454

Descrição não disponível.
Evaluation of Statistical POMDP-based Dialogue Systems in Noisy Environments.- Syntactic Filtering and Content-based Retrieval of Twitter Sentences for the Generation of System Utterances in Dialogue Systems.- Integrated Interpretation and Generation of Task-Oriented Dialog.- Justification and Transparency Explanations in Dialogue Systems to Maintain Human-Computer Trust.- Dialogue Management for User-centered Adaptive Dialogue.- Chat-like Conversational System based on Selection of Reply Generating Module with Reinforcement Learning.- Investigating Critical Speech Recognition Errors in Spoken Short Messages.- 8. The HRI-CMU Corpus of Situated In-Car Interactions.- Detecting 'Request Alternatives' User Dialog Acts from Dialog Context.- Emotion and Its Triggers in Human Spoken Dialogue: Recognition and Analysis.- Evaluation of In-Car SDS Notification Concepts for Incoming Proactive Events.- Construction and Analysis of a Persuasive Dialogue Corpus.- Evaluating Model that Predicts When People will Speak to a Humanoid Robot and Handling Variations of Individuals and Instructions.- Entrainment in Pedestrian Direction Giving: How many kinds of entrainment?.-Situated Interaction in a Multilingual Spoken Information Access Framework.- WFSTDM Builder - Network-based Spoken Dialogue System Builder for Easy Prototyping.- A demonstration of a natural-language pedestrian routing system.- Web-based Multimodal Multi-domain Spoken Dialogue System.- A Framework for Domain-specific Multi-modal Dialog System Creation.- A Trialogue-Based Spoken Dialogue System for Assessment of English Language Learners.- A Turbo-Decoding Weighted Forward-Backward Algorithm for Multimodal Speech Recognition.- Engine-independent ASR Error Management for Dialog Systems.- Restoring Incorrectly Segmented Keywords and Turn-Taking Caused by Short Pauses.- Investigating Critical Speech Recognition Errors in Spoken Short Messages.- A semi-automated evaluation metric for dialogue model coherence.
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Dialog System Architectures;IWSDS 2014;Language Generation;Situated Dialog;Speech Recognition;Spoken Dialog Systems;Spoken Language Understanding