This paper discusses a novel approach for capturing and translating isolated gestures of American Sign Language into spoken and written words. The instrumented part of the system ...
Jose L. Hernandez-Rebollar, Nicholas Kyriakopoulos...
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Interpreting fully natural speech is an important goal for spoken language understanding systems. However, while corpus studies have shown that about 10% of spontaneous utterances...
In this paper we explore the potential of concept indexing with WordNet synsets for Text Categorization, in comparison with the traditional bag of words text representation model. ...
A new class of models, formalisms and mechanisms has recently evolved for describing concurrent and distributed computations based on the concept of “coordination”. The purpos...