Add to ORKGWe describe Scusi?, a multi-stage, spoken language interpretation mechanism designed to be part of a robotmounted dialogue system. Scusi? 's interpretation process maps spoken utterances to conceptual graphs, and the nodes in these graphs to concepts in the world. Maximum posterior probability is used to rank the (partial) interpretations produced at each stage of this process. We show how the features of our interpretation process yield desirable behaviours that support robust and flexible system performance. © 2006 IEEE
The development of speaker-independent mixed-initiative spoken language interfaces, in which users n...
Abstract: In this work we deal with the interpretation methods of speech utterances. We describe the...
This article analyses the importance of probabilistic predicting in simultaneous interpreting and ex...
Simultaneous conference interpretation is considered on the basis of a linguistic (seman-tic) approa...
In this paper, we introduce Bayesian networks architecture for combining speech-based information wi...
This paper presents a speech understand-ing component for enabling robust situated human-robot commu...
Wachsmuth S. Multi-modal scene understanding using probabilistic models. Bielefeld (Germany): Bielef...
Spoken dialogue systems are instantiated in complex architectures comprising multiple in-terconnecte...
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This chapter presents a physical-computational model of sensory-motor grounded language interpretati...
Spoken Language Understanding performs automatic concept labeling and segmentation of speech utteran...
The purpose of this paper is to construct a methodology for smooth communications between humans and...
Multimodal conversation modeling is an important and challenging problem when building conversationa...
An utterance is normally produced by a speaker in linear time and the hearer normally correctly iden...
Abstract. We present an implemented model for speech recognition in natural en-vironments which reli...
The development of speaker-independent mixed-initiative spoken language interfaces, in which users n...
Abstract: In this work we deal with the interpretation methods of speech utterances. We describe the...
This article analyses the importance of probabilistic predicting in simultaneous interpreting and ex...
Simultaneous conference interpretation is considered on the basis of a linguistic (seman-tic) approa...
In this paper, we introduce Bayesian networks architecture for combining speech-based information wi...
This paper presents a speech understand-ing component for enabling robust situated human-robot commu...
Wachsmuth S. Multi-modal scene understanding using probabilistic models. Bielefeld (Germany): Bielef...
Spoken dialogue systems are instantiated in complex architectures comprising multiple in-terconnecte...
The paper explores the consequences of reinterpreting OT pragmatics of Zeevat (2009) as a Bayesian a...
This chapter presents a physical-computational model of sensory-motor grounded language interpretati...
Spoken Language Understanding performs automatic concept labeling and segmentation of speech utteran...
The purpose of this paper is to construct a methodology for smooth communications between humans and...
Multimodal conversation modeling is an important and challenging problem when building conversationa...
An utterance is normally produced by a speaker in linear time and the hearer normally correctly iden...
Abstract. We present an implemented model for speech recognition in natural en-vironments which reli...
The development of speaker-independent mixed-initiative spoken language interfaces, in which users n...
Abstract: In this work we deal with the interpretation methods of speech utterances. We describe the...
This article analyses the importance of probabilistic predicting in simultaneous interpreting and ex...