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Systems and methods for generating an annotation guide,
May 15, 2007
Systems and methods for generating an annotation guide. Speech data is organized and presented to a user. After the user selects some of the utterances in the speech data, the selected utterances are included in a class and/or call type. Additional utterances that belong to the class and/or call type can be found in the speech data using relevance feedback, data mining, data clustering, support vector machines, and the like. After a call type is complete, it is committed to the annotation guide. After all call types are completed, the annotation guide is generated.
System and method of customizing animated entities for use in a multi-media communication application,
August 15, 2006
A method of creating a personal animated entity for delivering a multi-media message from a sender to a recipient is disclosed. The method comprises receiving from the sender an image file at a server, the image file having an entity and a background image. The server presents to the sender the image file and requests the sender to mark features on the image file. After the sender marks the image file, the server presents to the sender the image file as an optional animated entity when the sender chooses an animated entity to deliver a multi-media message. If the sender selects the image file for delivering the multi-media message, the server delivers the multi-media message using the personal animated entity in the context of the background image of the image file. Extrapolation is used to fill in background voids created by the movement of the personal animated entity in the context of the background image.
System and method of customizing animated entities for use in a multi-media communication application,
May 27, 2008
In an embodiment, a method is provided for creating a personal animated entity for delivering a multi-media message from a sender to a recipient. An image file from the sender may be received by a server. The image file may include an image of an entity. The sender may be requested to provide input with respect to facial features of the image of the entity in preparation for animating the image of the entity. After the sender provides the input with respect to the facial features of the image of the entity, the image of the entity may be presented as a personal animated entity to the sender to preview. Upon approval of the preview from the sender, the image of the entity may be presented as a sender-selectable personal animated entity for delivering the multi-media message to the recipient.
Systems and methods for monitoring speech data labelers,
October 9, 2007
Systems and methods for monitoring labelers of speech data. To test or train labelers, a labeler is presented with utterances that have already been identified as belonging to a particular class or call type. The labeler is asked to assign a call type to the utterances. The performance of the labeler is measured by comparing the call types assigned by the labeler with the existing call types of the utterances. The performance of a labeler can also be monitored as the labeler labels speech data by occasionally having the labeler label an utterance that is already labeled and by storing the results.
Method And System For Classifying Image Elements,
May 31, 2005
A method, system, and machine-readable medium for classifying an image element as one of a plurality of categories, including assigning the image element based on a ratio between an unoccluded perimeter of the image element and an occluded perimeter of the image element and coding the image element according to a coding scheme associated with the category to which the image element is classified. Exemplary applications include image compression, where categories include image foreground and background layers.
