Abstract: A method of automatically aligning a written transcript with speech in video and audio clips. The disclosed technique involves as a basic component an automatic speech recognizer. The automatic speech recognizer decodes speech (recorded on a tape) and produces a file with a decoded text. This decoded text is then matched with the original written transcript via identification of similar words or clusters of words. The results of this matching is an alignment of the speech with the original transcript. The method can be used (a) to create indexing of video clips, (b) for "teleprompting" (i.e. showing the next portion of text when someone is reading from a television screen), or (c) to enhance editing of a text that was dictated to a stenographer or recorded on a tape for its subsequent textual reproduction by a typist.

Abstract: The novel notepad of the invention provides a convenient interface into the capabilities of computer technology from paper based information. The notepad has a form factor similar to a clipboard wherein the board portion includes a digitizing tablet and the clip portion includes an optical scanner. A battery-powered embedded processor and associated peripherals provide for capturing and storing information in a variety of forms including at least scanning information, digitized stylus information and audio annotation. An important feature of the invention is the linking of these different forms of information via software so that while the information is readily available for efficient processing, it is also combinable so as to recreate the annotated document through conventional means.

Abstract: In a handwriting recognition system a method for differentiating a first character from a second character having similar characteristics. The method includes the steps of determining during a training session at least one pairwise discriminant measure associated with the first character and with the second character. The step of determining includes a step of evaluating with a potential discriminant measure a plurality of prototype first characters and a plurality of prototype second characters. Subsequently, during a handwriting recognition session, the method evaluates with at least one of the previously determined discriminant measures selected from a set of same an input character identified as being either the first prototype character or the second prototype character.