Patents by Inventor Demitrios Master
Demitrios Master has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 9436759Abstract: The performance of traditional speech recognition systems (as applied to information extraction or translation) decreases significantly with, larger domain size, scarce training data as well as under noisy environmental conditions. This invention mitigates these problems through the introduction of a novel predictive feature extraction method which combines linguistic and statistical information for representation of information embedded in a noisy source language. The predictive features are combined with text classifiers to map the noisy text to one of the semantically or functionally similar groups. The features used by the classifier can be syntactic, semantic, and statistical.Type: GrantFiled: November 12, 2013Date of Patent: September 6, 2016Assignee: Nant Holdings IP, LLCInventors: Jun Huang, Yookyung Kim, Youssef Billawala, Farzad Ehsani, Demitrios Master
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Patent number: 9430467Abstract: Interpretation from a first language to a second language via one or more communication devices is performed through a communication network (e.g. phone network or the internet) using a server for performing recognition and interpretation tasks, comprising the steps of: receiving an input speech utterance in a first language on a first mobile communication device; conditioning said input speech utterance; first transmitting said conditioned input speech utterance to a server; recognizing said first transmitted speech utterance to generate one or more recognition results; interpreting said recognition results to generate one or more interpretation results in an interlingua; mapping the interlingua to a second language in a first selected format; second transmitting said interpretation results in the first selected format to a second mobile communication device; and presenting said interpretation results in a second selected format on said second communication device.Type: GrantFiled: December 18, 2015Date of Patent: August 30, 2016Assignee: Nant Holdings IP, LLCInventors: Farzad Ehsani, Demitrios Master, Elaine Drom Zuber
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Patent number: 9324327Abstract: A device interface system is presented. Contemplated device interfaces allow for construction of complex device behaviors by aggregating device functions. The behaviors are triggered based on conditions derived from environmental data about the device.Type: GrantFiled: April 23, 2015Date of Patent: April 26, 2016Assignee: NANT HOLDINGS IP, LLCInventors: Farzad Ehsani, Silke Maren Witt-Ehsani, Demitrios Master
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Publication number: 20160103825Abstract: Interpretation from a first language to a second language via one or more communication devices is performed through a communication network (e.g. phone network or the internet) using a server for performing recognition and interpretation tasks, comprising the steps of: receiving an input speech utterance in a first language on a first mobile communication device; conditioning said input speech utterance; first transmitting said conditioned input speech utterance to a server; recognizing said first transmitted speech utterance to generate one or more recognition results; interpreting said recognition results to generate one or more interpretation results in an interlingua; mapping the interlingua to a second language in a first selected format; second transmitting said interpretation results in the first selected format to a second mobile communication device; and presenting said interpretation results in a second selected format on said second communication device.Type: ApplicationFiled: December 18, 2015Publication date: April 14, 2016Applicant: NANT HOLDINGS IP, LLCInventors: FARZAD EHSANI, DEMITRIOS MASTER, ELAINE DROM ZUBER
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Patent number: 9251142Abstract: Interpretation from a first language to a second language via one or more communication devices is performed through a communication network (e.g. phone network or the internet) using a server for performing recognition and interpretation tasks, comprising the steps of: receiving an input speech utterance in a first language on a first mobile communication device; conditioning said input speech utterance; first transmitting said conditioned input speech utterance to a server; recognizing said first transmitted speech utterance to generate one or more recognition results; interpreting said recognition results to generate one or more interpretation results in an interlingua; mapping the interlingua to a second language in a first selected format; second transmitting said interpretation results in the first selected format to a second mobile communication device; and presenting said interpretation results in a second selected format on said second communication device.Type: GrantFiled: July 8, 2014Date of Patent: February 2, 2016Assignee: Nant Holdings IP, LLCInventors: Farzad Ehsani, Demitrios Master, Elaine Drom Zuber
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Publication number: 20150228283Abstract: A device interface system is presented. Contemplated device interfaces allow for construction of complex device behaviors by aggregating device functions. The behaviors are triggered based on conditions derived from environmental data about the device.Type: ApplicationFiled: April 23, 2015Publication date: August 13, 2015Inventors: FARZAD EHSANI, SILKE MAREN WITT-EHSANI, DEMITRIOS MASTER
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Publication number: 20150134336Abstract: The performance of traditional speech recognition systems (as applied to information extraction or translation) decreases significantly with, larger domain size, scarce training data as well as under noisy environmental conditions. This invention mitigates these problems through the introduction of a novel predictive feature extraction method which combines linguistic and statistical information for representation of information embedded in a noisy source language. The predictive features are combined with text classifiers to map the noisy text to one of the semantically or functionally similar groups. The features used by the classifier can be syntactic, semantic, and statistical.Type: ApplicationFiled: November 12, 2013Publication date: May 14, 2015Inventors: Jun Huang, Yookyung Kim, Youssef Billawala, Farzad Ehsani, Demitrios Master
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Patent number: 9026441Abstract: A device interface system is presented. Contemplated device interfaces allow for construction of complex device behaviors by aggregating device functions. The behaviors are triggered based on conditions derived from environmental data about the device.Type: GrantFiled: February 28, 2013Date of Patent: May 5, 2015Assignee: Nant Holdings IP, LLCInventors: Farzad Ehsani, Silke Maren Witt-Ehsani, Demitrios Master
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Publication number: 20140316762Abstract: Interpretation from a first language to a second language via one or more communication devices is performed through a communication network (e.g. phone network or the internet) using a server for performing recognition and interpretation tasks, comprising the steps of: receiving an input speech utterance in a first language on a first mobile communication device; conditioning said input speech utterance; first transmitting said conditioned input speech utterance to a server; recognizing said first transmitted speech utterance to generate one or more recognition results; interpreting said recognition results to generate one or more interpretation results in an interlingua; mapping the interlingua to a second language in a first selected format; second transmitting said interpretation results in the first selected format to a second mobile communication device; and presenting said interpretation results in a second selected format on said second communication device.Type: ApplicationFiled: July 8, 2014Publication date: October 23, 2014Inventors: Farzad Ehsani, Demitrios Master, Elaine Drom Zuber
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Patent number: 8775181Abstract: Interpretation from a first language to a second language via one or more communication devices is performed through a communication network (e.g. phone network or the internet) using a server for performing recognition and interpretation tasks, comprising the steps of: receiving an input speech utterance in a first language on a first mobile communication device; conditioning said input speech utterance; first transmitting said conditioned input speech utterance to a server; recognizing said first transmitted speech utterance to generate one or more recognition results; interpreting said recognition results to generate one or more interpretation results in an interlingua; mapping the interlingua to a second language in a first selected format; second transmitting said interpretation results in the first selected format to a second mobile communication device; and presenting said interpretation results in a second selected format on said second communication device.Type: GrantFiled: July 2, 2013Date of Patent: July 8, 2014Assignee: Fluential, LLCInventors: Farzad Ehsani, Demitrios Master, Elaine Drom Zuber
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Patent number: 8583416Abstract: The performance of traditional speech recognition systems (as applied to information extraction or translation) decreases significantly with, larger domain size, scarce training data as well as under noisy environmental conditions. This invention mitigates these problems through the introduction of a novel predictive feature extraction method which combines linguistic and statistical information for representation of information embedded in a noisy source language. The predictive features are combined with text classifiers to map the noisy text to one of the semantically or functionally similar groups. The features used by the classifier can be syntactic, semantic, and statistical.Type: GrantFiled: December 27, 2007Date of Patent: November 12, 2013Assignee: Fluential, LLCInventors: Jun Huang, Yookyung Kim, Youssef Billawala, Farzad Ehsani, Demitrios Master
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Publication number: 20130297288Abstract: Interpretation from a first language to a second language via one or more communication devices is performed through a communication network (e.g. phone network or the internet) using a server for performing recognition and interpretation tasks, comprising the steps of: receiving an input speech utterance in a first language on a first mobile communication device; conditioning said input speech utterance; first transmitting said conditioned input speech utterance to a server; recognizing said first transmitted speech utterance to generate one or more recognition results; interpreting said recognition results to generate one or more interpretation results in an interlingua; mapping the interlingua to a second language in a first selected format; second transmitting said interpretation results in the first selected format to a second mobile communication device; and presenting said interpretation results in a second selected format on said second communication device.Type: ApplicationFiled: July 2, 2013Publication date: November 7, 2013Inventors: Farzad Ehsani, Demitrios Master, Elaine Drom Zuber
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Patent number: 8478578Abstract: Interpretation from a first language to a second language via one or more communication devices is performed through a communication network (e.g. phone network or the internet) using a server for performing recognition and interpretation tasks, comprising the steps of: receiving an input speech utterance in a first language on a first mobile communication device; conditioning said input speech utterance; first transmitting said conditioned input speech utterance to a server; recognizing said first transmitted speech utterance to generate one or more recognition results; interpreting said recognition results to generate one or more interpretation results in an interlingua; mapping the interlingua to a second language in a first selected format; second transmitting said interpretation results in the first selected format to a second mobile communication device; and presenting said interpretation results in a second selected format on said second communication device.Type: GrantFiled: January 9, 2009Date of Patent: July 2, 2013Assignee: Fluential, LLCInventors: Farzad Ehsani, Demitrios Master, Elaine Drom Zuber
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Patent number: 8229728Abstract: The present invention adopts the fundamental architecture of a statistical machine translation system which utilizes statistical models learned from the training data and does not require expert knowledge for rule-based machine translation systems. Out of the training parallel data, a certain amount of sentence pairs are selected for manual alignment. These sentences are aligned at the phrase level instead of at the word level. Depending on the size of the training data, the optimal amount for manual alignment may vary. The alignment is done using an alignment tool with a graphical user interface which is convenient and intuitive to the users. Manually aligned data are then utilized to improve the automatic word alignment component. Model combination methods are also introduced to improve the accuracy and the coverage of statistical models for the task of statistical machine translation.Type: GrantFiled: January 4, 2008Date of Patent: July 24, 2012Assignee: Fluential, LLCInventors: Jun Huang, Yookyung Kim, Demitrios Master, Farzad Ehsani
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Publication number: 20090177460Abstract: The present invention adopts the fundamental architecture of a statistical machine translation system which utilizes statistical models learned from the training data and does not require expert knowledge for rule-based machine translation systems. Out of the training parallel data, a certain amount of sentence pairs are selected for manual alignment. These sentences are aligned at the phrase level instead of at the word level. Depending on the size of the training data, the optimal amount for manual alignment may vary. The alignment is done using an alignment tool with a graphical user interface which is convenient and intuitive to the users. Manually aligned data are then utilized to improve the automatic word alignment component. Model combination methods are also introduced to improve the accuracy and the coverage of statistical models for the task of statistical machine translation.Type: ApplicationFiled: January 4, 2008Publication date: July 9, 2009Applicant: FLUENTIAL, INC.Inventors: Jun Huang, Yookyung Kim, Demitrios Master, Farzad Ehsani
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Publication number: 20090177461Abstract: Interpretation from a first language to a second language via one or more communication devices is performed through a communication network (e.g. phone network or the internet) using a server for performing recognition and interpretation tasks, comprising the steps of: receiving an input speech utterance in a first language on a first mobile communication device; conditioning said input speech utterance; first transmitting said conditioned input speech utterance to a server; recognizing said first transmitted speech utterance to generate one or more recognition results; interpreting said recognition results to generate one or more interpretation results in an interlingua; mapping the interlingua to a second language in a first selected format; second transmitting said interpretation results in the first selected format to a second mobile communication device; and presenting said interpretation results in a second selected format on said second communication device.Type: ApplicationFiled: January 9, 2009Publication date: July 9, 2009Applicant: FLUENTIAL, INC.Inventors: Farzad Ehsani, Demitrios Master, Elaine Zuber
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Publication number: 20090171662Abstract: The performance of traditional speech recognition systems (as applied to information extraction or translation) decreases significantly with, larger domain size, scarce training data as well as under noisy environmental conditions. This invention mitigates these problems through the introduction of a novel predictive feature extraction method which combines linguistic and statistical information for representation of information embedded in a noisy source language. The predictive features are combined with text classifiers to map the noisy text to one of the semantically or functionally similar groups. The features used by the classifier can be syntactic, semantic, and statistical.Type: ApplicationFiled: December 27, 2007Publication date: July 2, 2009Applicant: SEHDA, INC.Inventors: Jun Huang, Yookyung Kim, Youssef Billawala, Farzad Ehsani, Demitrios Master
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Publication number: 20080133245Abstract: The present invention disclose modular speech-to-speech translation systems and methods that provide adaptable platforms to enable verbal communication between speakers of different languages within the context of specific domains. The components of the preferred embodiments of the present invention includes: (1) speech recognition; (2) machine translation; (3) N-best merging module; (4) verification; and (5) text-to-speech. Characteristics of the speech recognition module here are that the modules are structured to provide N-best selections and multi-stream processing, where multiple speech recognition engines may be active at any one time. The N-best lists from the one or more speech recognition engines may be handled either separately or collectively to improve both recognition and translation results. A merge module is responsible for integrating the N-best outputs of the translation engines along with confidence/translation scores to create a ranked list or recognition-translation pairs.Type: ApplicationFiled: December 4, 2006Publication date: June 5, 2008Inventors: Guillaume Proulx, Youssef Billawala, Elaine Drom, Farzad Ehsani, Yookyung Kim, Demitrios Master
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Publication number: 20070016401Abstract: The present invention discloses a speech-to-speech translation device which allows one or more users to input a spoken utterance in one language, translates the utterance into one or more second languages, and outputs the translation in speech form. Additionally, the device allows for translation both directions, recognizing inputs in the one or more second languages and translating them back into the first language. The device recognizes and translates utterances in a limited domain as in a phrase book translation system, so the translation accuracy is essentially 100%. By limiting the domain the system increases the accuracy of the speech recognition component and thus the accuracy of the overall system. However unlike other phrase book systems, the device also allows wide variations and paraphrasing in the input, so that the user is much more likely to find the desired phrase from the stored list of phrases.Type: ApplicationFiled: August 12, 2005Publication date: January 18, 2007Inventors: Farzad Ehsani, Demitrios Master, Guillaume Proulx