| Patent application number | Description | Published |
|---|
| 20090037172 | Method for generating a vector codebook, method and device for compressing data, and distributed speech recognition system - A method for compressing data, the data being represented by an input vector having Q features, wherein Q is an integer higher than 1, including the steps of 1) providing a vector codebook of sub-sets of indexed Q-feature reference vectors and threshold values associated with the sub-sets for a prefixed feature; 2) identifying a sub-set of reference vectors among the sub-sets by progressively comparing the value of a feature of the input vector which corresponds to the prefixed feature, with the threshold values associated with the sub-sets; and 3) identifying the reference vector which, within the sub-set identified in step 2), provides the lowest distortion with respect to the input vector. | 02-05-2009 |
| 20100030714 | METHOD AND SYSTEM TO IMPROVE AUTOMATED EMOTIONAL RECOGNITION - An automated emotional recognition system includes an emotional state classifier adapted to receive, during an operative phase, an input information stream with embedded information related to emotional states of a person, and to generate a succession of emotional state indications derived from the input information stream. The emotional recognition system further includes a post-processing function, configured to receive at least two emotional state indications of the succession and, for each of said at least two emotional state indications, determine a corresponding emotional state representation in an emotional state representation system. The post-processing function is further configured to combine the emotional state representations of the at least two emotional state indications to obtain an output emotional state indication. | 02-04-2010 |
| 20100088088 | CUSTOMIZABLE METHOD AND SYSTEM FOR EMOTIONAL RECOGNITION - An automated emotional recognition system is adapted to determine emotional states of a speaker based on the analysis of a speech signal. The emotional recognition system includes at least one server function and at least one client function in communication with the at least one server function for receiving assistance in determining the emotional states of the speaker. The at least one client function includes an emotional features calculator adapted to receive the speech signal and to extract therefrom a set of speech features indicative of the emotional state of the speaker. The emotional state recognition system further includes at least one emotional state decider adapted to determine the emotional state of the speaker exploiting the set of speech features based on a decision model. The server function includes at least a decision model trainer adapted to update the selected decision model according to the speech signal. The decision model to be used by the emotional state decider for determining the emotional state of the speaker is selectable based on a context of use of the recognition system. | 04-08-2010 |
| 20110211045 | METHOD AND SYSTEM FOR PRODUCING MULTI-VIEW 3D VISUAL CONTENTS - A method for producing 3D multi-view visual contents including capturing a visual scene from at least one first point of view for generating a first bidimensional image of the scene and a corresponding first depth map indicative of a distance of different parts of the scene from the first point of view. The method further includes capturing the visual scene from at least one second point of view for generating a second bidimensional image; processing the first bidimensional image to derive at least one predicted second bidimensional image predicting the visual scene captured from the at least one second point of view; deriving at least one predicted second depth map predictive of a distance of different parts of the scene from the at least one second point of view by processing the first depth map, the at least one predicted second bidimensional image and the second bidimensional image. | 09-01-2011 |
