This paper introduces a method to train an error-corrective model for Automatic Speech Recognition (ASR) without using audio data. In existing techniques, it is assumed that sufï¬...
Traditionally, research in identifying structured entities in documents has proceeded independently of document categorization research. In this paper, we observe that these two t...
Active Appearance Models (AAMs) are generative parametric models that have been successfully used in the past to track faces in video. A variety of video applications are possible...
When building a new spoken dialogue application, large amounts of domain specific data are required. This paper addresses the issue of generating in-domain training data when litt...
In this paper we present an environment for the tracking of a human face obtained from a real video sequence. We will describe the system and discuss the advantages and disadvanta...