Eric Thelen

TL;DR: In this article, a distributed speech recognition system includes at least one client station and a server station connected via a network, such as Internet, where a speech controller directs at least part of the speech input signal to a local speech recognizer.

TL;DR: A distributed pattern recognition system includes at least one user station and a server station that retrieves a recognition model selected for the user and provides the retrieved recognition model to a recognition unit for recognising the input pattern using the recognition models.

TL;DR: In this paper, a system consisting of means (300) for creating a vocabulary and/or statistical language model (330) from a textual training corpus is presented. And means (336) are used for composing the training corpus from the selected documents.

TL;DR: In this paper, a huge vocabulary speech recognition system for recognizing a sequence of spoken words, having an input means for receiving a time-sequential input pattern representative of the sequence of words.

TL;DR: In this paper, a method of processing media content, the method comprising the steps of (210) obtaining a plurality of segments of the media contents, each segment being associated with a predetermined emotion of a particular user; and (230) combining the segments so as to generate a content item for presentation to the particular user.