Spoken Dialogue Systems for Ambient Environments

It is our great pleasure to welcome you to the 2nd International Workshop on Spoken Dialogue Systems Technology (IWSDS), which was held, as a satellite event of INTERSPEECH 2010, at Gotemba Kogen Resort in the Fuji area, Japan, October 1 2, 2010. The annual workshop brings together researchers from all over the world working in the ?eld of spoken dialogue systems. It provides an international - rum for the presentation of research and applications and for lively discussions among researchers as well as industrialists. Building on the success of IWSDS 2009Irsee,Germany,thisyear sworkshopdesignated SpokenDialogueSystems for Ambient Environments as a special theme of discussion. We also enco- aged discussions of common issues of spoken dialogue systems including but not limited to: Speech recognition and semantic analysis Dialogue management Adaptive dialogue modelling Recognition of emotions from speech, gestures, facial expressions and ph- iological data User modelling Planning and reasoning capabilities for coordinationand con?ict description Con?ict resolution in complex multi-level decisions Multi-modality such as graphics, gesture and speech for input and output Fusion and information management Learning and adaptability Visual processing and recognition for advanced human-computer interaction Databases and corpora Evaluation strategies and paradigms Prototypes and products The workshop program consisted of 22 regular papers and 2 invited keynote talks. This year, we were pleased to have two keynote speakers: Prof. Ram on L opez-C ozar, Universidad de Granada, Spain and Prof. Tetsunori Kobayashi, Waseda University, Japan.

Klappentext

This book constitutes the refereed proceedings of the Second International Workshop on Spoken Dialogue Systems, IWDS 2010, held in Gotemba, Japan, in October 2010. The 22 session papers presented together with 2 invited keynote talks were carefully reviewed and selected from numerous submissions. The papers deal with topics around Spoken Dialogue Systems for Ambient Environment and discuss common issues of theories, applications, evaluation, limitations, general tools and techniques.

Inhalt
Long Papers.- Impact of a Newly Developed Modern Standard Arabic Speech Corpus on Implementing and Evaluating Automatic Continuous Speech Recognition Systems.- User and Noise Adaptive Dialogue Management Using Hybrid System Actions.- Detection of Unknown Speakers in an Unsupervised Speech Controlled System.- Evaluation of Two Approaches for Speaker Specific Speech Recognition.- Issues in Predicting User Satisfaction Transitions in Dialogues: Individual Differences, Evaluation Criteria, and Prediction Models.- Expansion of WFST-Based Dialog Management for Handling Multiple ASR Hypotheses.- Evaluation of Facial Direction Estimation from Cameras for Multi-modal Spoken Dialog System.- D3 Toolkit: A Development Toolkit for Daydreaming Spoken Dialog Systems.- New Technique to Enhance the Performance of Spoken Dialogue Systems by Means of Implicit Recovery of ASR Errors.- Simulation of the Grounding Process in Spoken Dialog Systems with Bayesian Networks.- Facing Reality: Simulating Deployment of Anger Recognition in IVR Systems.- A Discourse and Dialogue Infrastructure for Industrial Dissemination.- Short Papers.- Impact of Semantic Web on the Development of Spoken Dialogue Systems.- A User Model to Predict User Satisfaction with Spoken Dialog Systems.- Sequence-Based Pronunciation Modeling Using a Noisy-Channel Approach.- Rational Communication and Affordable Natural Language Interaction for Ambient Environments.- Construction and Experiment of a Spoken Consulting Dialogue System.- A Study Toward an Evaluation Method for Spoken Dialogue Systems Considering User Criteria.- A Classifier-Based Approach to Supporting the Augmentation of the Question-Answer Database for Spoken Dialogue Systems.- The Influence of the Usage Mode on Subjectively Perceived Quality.- Demo Papers.- Sightseeing Guidance Systems Based on WFST-Based Dialogue Manager.- Spoken Dialogue System Based on Information Extraction from Web Text.