32results about How to "Computationally" patented technology

Methods are disclosed for performing proper word alignment that satisfy constraints of coverage and transitive closure. Initially, a translation matrix which defines word association measures between source and target words of a corpus of bilingual translations of source and target sentences is computed. Subsequently, in a first method, the association measures in the translation matrix are factorized and orthogonalized to produce cepts for the source and target words, which resulting matrix factors may then be, optionally, multiplied to produce an alignment matrix. In a second method, the association measures in the translation matrix are thresholded, and then closed by transitivity, to produce an alignment matrix, which may then be, optionally, factorized to produce cepts. The resulting cepts or alignment matrices may then be used by any number of natural language applications for identifying words that are properly aligned.

The present invention relates to a speech procession systems comprising a frame handler unit (100) for dividing the incoming speech signal into frames and subframes of samples, a short-term analyzer (200) connected to the frame handler unit (100) for calculating short-term characteristics of the frames of the input speech signal, a short-term redundancy removing unit (250) connected to the short-term analyzer (200) for eliminating short-term characteristics of the frames of the input speech signal and creating noise shaped speech signal, a long-term analyzer (300) connected to the short-term redundancy removing unit (250) for calculating and predicting long-term characteristics of the noise shaped speech signal, a long-term redundancy removing unit (350) connected to the long-term analyzer (300) for eliminating long-term characteristics of the noise shaped speech signal or eliminating short-term and long-term characteristics of the frames of the speech input signal, and in such a way creating a target vector, an excitation pulse search unit (500) connected to the short-term analyzer (200) and the long-term redundancy removing unit (350) for generating sequences of pulses which are to simulate the target vector, wherein every pulse is of variable position, sign and amplitude. Furthermore, the present invention relates to a method of speech processing comprising the steps of dividing the incoming speech signal into frames and subframes, calculating short-term characteristics of the frames of the input speech signal, eliminating short-term characteristics of the frames of the input speech signal and creating noise shaped speech signal, calculating and predicting long-term characteristics of the noise shaped speech signal, eliminating long-term characteristics of the noise shaped speech signal or eliminating short-term and long-term characteristics of the frames of the speech input signal, and in such a way creating a target vector, and generating sequences of pulses of variable position, sign and amplitude which are to simulate the target vector by passing a synthesis filter.

A control system and a method for estimating a risk exposure of an automated driving system (ADS) of a vehicle. Obtaining an actuation capability of the vehicle, wherein the obtained actuation capability includes an uncertainty estimation for the actuation capability. Obtaining a location of free-space areas in the surrounding environment of the vehicle, wherein the obtained location of free-space areas comprises an uncertainty estimation for the estimated location of free-space areas. Forming a risk map of the surrounding environment of the vehicle based on the obtained actuation capability and the obtained location of free-space areas, wherein the risk map includes a risk parameter for each of a plurality of area segments included in the surrounding environment of the vehicle. Determining a total risk value of the ADS based on the risk parameters of a set of area segments intersected by at least one planned path of the ADS.

An MR imaging method with an imaging workflow is provided. Within the scope of the MR imaging method, at least one breath-holding command is output to a patient. An MR imaging is performed with an MR imaging method that may be used with free breathing. A breathing movement of the patient is detected based on measured data acquired when performing the MR imaging method. A time relationship is determined between the breathing movement of the patient and the breath-holding command. The imaging workflow is modified as a function of the determined time relationship. A breathing monitoring device and a magnetic resonance imaging system are also provided.

In a method for motion estimation using adaptive patterns in a video sequence compression system, an initial search pattern located at a center of a search window in a block of a video frame is determined. A location of a minimum block distortion measure (BDM) is searched in the initial search pattern. A horizontal search pattern for functioning on the search window is determined in the horizontal direction to search a location of a minimum BDM in the horizontal search pattern. A vertical search pattern for operating on the search window is determined in the vertical direction to search a location of a minimum BDM in the vertical search pattern. The location of the minimum BDM in each pattern is designated to be a motion vector. A search pattern to be used in a subsequent searching stage is determined based on the location of the minimum BDM in each pattern.