Bekkerman
Boris Bekkerman, Highwood, IL US
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20140122071 | Method and System for Voice Recognition Employing Multiple Voice-Recognition Techniques - A method and system for voice recognition are disclosed. In one example embodiment, the method includes receiving voice input information by way of a receiver on a mobile device and performing, by way of at least one processing device on the mobile device, first and second processing operations respectively with respect to first and second voice input portions, respectively, which respectively correspond to and are based at least indirectly upon different respective portions of the voice input information. The first processing operation includes a speech-to-text operation and the second processing operation includes an alternate processing operation. Additionally, the method includes generating recognized voice information based at least indirectly upon results from the first and second processing operations, and performing at least one action based at least in part upon the recognized voice information, where the at least one action includes outputting at least one signal by an output device. | 05-01-2014 |
20150032451 | Method and Device for Voice Recognition Training - A method on a mobile device for voice recognition training is described. A voice training mode is entered. A voice training sample for a user of the mobile device is recorded. The voice training mode is interrupted to enter a noise indicator mode based on a sample background noise level for the voice training sample and a sample background noise type for the voice training sample. The voice training mode is returned to from the noise indicator mode when the user provides a continuation input that indicates a current background noise level meets an indicator threshold value. | 01-29-2015 |
Ilya Bekkerman, Beer Sheva IL
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20140281820 | METHOD AND SYSTEM FOR ADAPTIVE SETTING OF VERIFY LEVELS IN FLASH MEMORY - A system and method for computing MLC flash memory cell programming parameters to dynamically adjust verify voltage levels is provided. The method may use an iterative guess and check process that will result in a distribution of states, specifically a cell voltage distribution (CVD) that minimizes the cell error rate in cells encoded in interleaved error correction code (ECC) mode, and that balances the bit error rate between pages in cells encoded in non-interleaved ECC mode. | 09-18-2014 |
Ron Bekkerman, Palo Alto, CA US
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20100185695 | System and Method for Data Clustering - A method for data clustering may comprise entering data into a computer network comprising a master processor, an array of slave processors, and two cluster seats associated with each slave processor; executing a master process comprising dividing the data into clusters, sending the clusters to the cluster seats, initializing an optimization cycle, and computing an objective function. The optimization cycle includes the parallel execution by the slave processors of a slave process, which includes exchanging data between paired clusters so as to increase the objective function based on two modalities, and then resorting the cluster pairs for a subsequent iteration of the process. | 07-22-2010 |
20110035375 | BUILDING USER PROFILES FOR WEBSITE PERSONALIZATION - One embodiment is a method that builds a website profile from keywords appearing at the website and builds a user profile from a subset of the keywords that appear in documents accessed by the user. A web page is personalized based on the user profile. | 02-10-2011 |
Ron Bekkerman, Mountain View, CA US
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20130110498 | PHRASE-BASED DATA CLASSIFICATION SYSTEM | 05-02-2013 |
Ron Bekkerman, Haifa IL
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20150142423 | PHRASE-BASED DATA CLASSIFICATION SYSTEM - A method of classifying data is disclosed. Text data items are received. A set of classes into which the text data items are to be classified is received. A phrase-based classifier to classify the text data items into the set of classes is selected. The phrase-based classifier is applied to classify the text data items into the classes. Here, the applying includes creating a controlled vocabulary pertaining to classifying the text data items into the set of classes, building phrases based on the text data items and the controlled vocabulary, and classifying the text data items into the set of classes based on the phrases. | 05-21-2015 |