Patents by Inventor Martin Graciarena
Martin Graciarena 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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Publication number: 20240147025Abstract: In general, the disclosure describes techniques for obtaining, by a computing system, a content item and a purported source for the content item, wherein the content item may include multimodal data. The techniques may further include generating, by the computing system, a plurality of modality feature vectors representative of the multimodal data, wherein each of the generated modality feature vectors has a different, corresponding modality feature. The techniques may further include mapping, by the computing system, the generated modality feature vectors based on a statistical distribution associated with the purported source. The techniques may further include determining, by the computing system, a score based on the mapping. The techniques may further include outputting, by the computing system and based on the score, an indication of whether the content item originated from the purported source.Type: ApplicationFiled: September 20, 2023Publication date: May 2, 2024Inventors: Martin Graciarena, John Cadigan, Alan Taitz
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Patent number: 11217228Abstract: Systems and methods for speech recognition are provided. In some aspects, the method comprises receiving, using an input, an audio signal. The method further comprises splitting the audio signal into auditory test segments. The method further comprises extracting, from each of the auditory test segments, a set of acoustic features. The method further comprises applying the set of acoustic features to a deep neural network to produce a hypothesis for the corresponding auditory test segment. The method further comprises selectively performing one or more of: indirect adaptation of the deep neural network and direct adaptation of the deep neural network.Type: GrantFiled: March 22, 2017Date of Patent: January 4, 2022Assignee: SRI InternationalInventors: Vikramjit Mitra, Horacio E. Franco, Chris D. Bartels, Dimitra Vergyri, Julien van Hout, Martin Graciarena
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Patent number: 11152016Abstract: Embodiments of the disclosed technologies include finding content of interest in an RF spectrum by automatically scanning the RF spectrum; detecting, in a range of frequencies of the RF spectrum that includes one or more undefined channels, a candidate RF segment; where the candidate RF segment includes a frequency-bound time segment of electromagnetic energy; executing a machine learning-based process to determine, for the candidate RF segment, signal characterization data indicative of one or more of: a frequency range, a modulation type, a timestamp; using the signal characterization data to determine whether audio contained in the candidate RF segment corresponds to a search criterion; in response to determining that the candidate RF segment corresponds to the search criterion, outputting, through an electronic device, data indicative of the candidate RF segment; where the data indicative of the candidate RF segment is output in a real-time time interval after the candidate RF segment is detected.Type: GrantFiled: May 8, 2019Date of Patent: October 19, 2021Assignee: SRI INTERNATIONALInventors: Aaron D. Lawson, Harry Bratt, Mitchell L. McLaren, Martin Graciarena
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Publication number: 20200184997Abstract: Embodiments of the disclosed technologies include finding content of interest in an RF spectrum by automatically scanning the RF spectrum; detecting, in a range of frequencies of the RF spectrum that includes one or more undefined channels, a candidate RF segment; where the candidate RF segment includes a frequency-bound time segment of electromagnetic energy; executing a machine learning-based process to determine, for the candidate RF segment, signal characterization data indicative of one or more of: a frequency range, a modulation type, a timestamp; using the signal characterization data to determine whether audio contained in the candidate RF segment corresponds to a search criterion; in response to determining that the candidate RF segment corresponds to the search criterion, outputting, through an electronic device, data indicative of the candidate RF segment; where the data indicative of the candidate RF segment is output in a real-time time interval after the candidate RF segment is detected.Type: ApplicationFiled: May 8, 2019Publication date: June 11, 2020Inventors: Aaron D. Lawson, Harry Bratt, Mitchell L. McLaren, Martin Graciarena
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Publication number: 20200168208Abstract: Systems and methods for speech recognition are provided. In some aspects, the method comprises receiving, using an input, an audio signal. The method further comprises splitting the audio signal into auditory test segments. The method further comprises extracting, from each of the auditory test segments, a set of acoustic features. The method further comprises applying the set of acoustic features to a deep neural network to produce a hypothesis for the corresponding auditory test segment. The method further comprises selectively performing one or more of: indirect adaptation of the deep neural network and direct adaptation of the deep neural network.Type: ApplicationFiled: March 22, 2017Publication date: May 28, 2020Inventors: Vikramjit Mitra, Horacio E. Franco, Chris D. Bartels, Dimitra Vergyri, Julien van Hout, Martin Graciarena
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Patent number: 10478111Abstract: A computer-implemented method can include a speech collection module collecting a speech pattern from a patient, a speech feature computation module computing at least one speech feature from the collected speech pattern, a mental health determination module determining a state-of-mind of the patient based at least in part on the at least one computed speech feature, and an output module providing an indication of a diagnosis with regard to a possibility that the patient is suffering from a certain condition such as depression or Post-Traumatic Stress Disorder (PTSD).Type: GrantFiled: August 5, 2015Date of Patent: November 19, 2019Assignee: SRI InternationalInventors: Bruce Knoth, Dimitra Vergyri, Elizabeth Shriberg, Vikramjit Mitra, Mitchell McLaren, Andreas Kathol, Colleen Richey, Martin Graciarena
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Publication number: 20180214061Abstract: A computer-implemented method can include a speech collection module collecting a speech pattern from a patient, a speech feature computation module computing at least one speech feature from the collected speech pattern, a mental health determination module determining a state-of-mind of the patient based at least in part on the at least one computed speech feature, and an output module providing an indication of a diagnosis with regard to a possibility that the patient is suffering from a certain condition such as depression or Post-Traumatic Stress Disorder (PTSD).Type: ApplicationFiled: August 5, 2015Publication date: August 2, 2018Inventors: Bruce Knoth, Dimitra Vergyri, Elizabeth Shriberg, Vikramjit Mitra, Mitchell McLaren, Andreas Kathol, Colleen Richey, Martin Graciarena
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Publication number: 20170061316Abstract: The present invention relates to a method and apparatus for tailoring the output of an intelligent automated assistant. One embodiment of a method for conducting an interaction with a human user includes collecting data about the user using a multimodal set of sensors positioned in a vicinity of the user, making a set of inferences about the user in accordance with the data, and tailoring an output to be delivered to the user in accordance with the set of inferences.Type: ApplicationFiled: November 16, 2016Publication date: March 2, 2017Inventors: Gokhan Tur, Horacio E. Franco, Elizabeth Shriberg, Gregory K. Myers, William S. Mark, Norman D. Winarsky, Andreas Stolcke, Bart Peintner, Michael J. Wolverton, Luciana Ferrer, Martin Graciarena, Neil Yorke-Smith, Harry Bratt
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Patent number: 9564134Abstract: The present invention relates to a method and apparatus for speaker-calibrated speaker detection. One embodiment of a method for generating a speaker model for use in detecting a speaker of interest includes identifying one or more speech features that best distinguish the speaker of interest from a plurality of impostor speakers and then incorporating the speech features in the speaker model.Type: GrantFiled: September 28, 2015Date of Patent: February 7, 2017Assignee: SRI INTERNATIONALInventors: Elizabeth Shriberg, Luciana Ferrer, Andreas Stolcke, Martin Graciarena, Nicolas Scheffer
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Patent number: 9501743Abstract: The present invention relates to a method and apparatus for tailoring the output of an intelligent automated assistant. One embodiment of a method for conducting an interaction with a human user includes collecting data about the user using a multimodal set of sensors positioned in a vicinity of the user, making a set of inferences about the user in accordance with the data, and tailoring an output to be delivered to the user in accordance with the set of inferences.Type: GrantFiled: December 2, 2015Date of Patent: November 22, 2016Assignee: SRI INTERNATIONALInventors: Gokhan Tur, Horacio E. Franco, Elizabeth Shriberg, Gregory K. Myers, William S. Mark, Norman D. Winarsky, Andreas Stolcke, Bart Peintner, Michael J. Wolverton, Luciana Ferrer, Martin Graciarena, Neil Yorke-Smith, Harry Bratt
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Publication number: 20160118049Abstract: The present invention relates to a method and apparatus for speaker-calibrated speaker detection. One embodiment of a method for generating a speaker model for use in detecting a speaker of interest includes identifying one or more speech features that best distinguish the speaker of interest from a plurality of impostor speakers and then incorporating the speech features in the speaker model.Type: ApplicationFiled: September 28, 2015Publication date: April 28, 2016Inventors: Elizabeth Shriberg, Luciana Ferrer, Andreas Stolcke, Martin Graciarena, Nicolas Scheffer
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Publication number: 20160086090Abstract: The present invention relates to a method and apparatus for tailoring the output of an intelligent automated assistant. One embodiment of a method for conducting an interaction with a human user includes collecting data about the user using a multimodal set of sensors positioned in a vicinity of the user, making a set of inferences about the user in accordance with the data, and tailoring an output to be delivered to the user in accordance with the set of inferences.Type: ApplicationFiled: December 2, 2015Publication date: March 24, 2016Inventors: Gokhan Tur, Horacio E. Franco, Elizabeth Shriberg, Gregory K. Myers, William S. Mark, Norman D. Winarsky, Andreas Stolcke, Bart Peinter, Michael J. Wolverton, Luciana Ferrer, Martin Graciarena, Neil Yorke-Smith, Harry Bratt
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Patent number: 9213558Abstract: The present invention relates to a method and apparatus for tailoring the output of an intelligent automated assistant. One embodiment of a method for conducting an interaction with a human user includes collecting data about the user using a multimodal set of sensors positioned in a vicinity of the user, making a set of inferences about the user in accordance with the data, and tailoring an output to be delivered to the user in accordance with the set of inferences.Type: GrantFiled: September 1, 2010Date of Patent: December 15, 2015Assignee: SRI INTERNATIONALInventors: Gokhan Tur, Horacio E. Franco, Elizabeth Shriberg, Gregory K. Myers, William S. Mark, Norman D. Winarsky, Andreas Stolcke, Bart Peintner, Michael J. Wolverton, Luciana Ferrer, Martin Graciarena, Harry Bratt, Neil Yorke-Smith
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Patent number: 9147401Abstract: The present invention relates to a method and apparatus for speaker-calibrated speaker detection. One embodiment of a method for generating a speaker model for use in detecting a speaker of interest includes identifying one or more speech features that best distinguish the speaker of interest from a plurality of impostor speakers and then incorporating the speech features in the speaker model.Type: GrantFiled: December 21, 2011Date of Patent: September 29, 2015Assignee: SRI INTERNATIONALInventors: Elizabeth Shriberg, Luciana Ferrer, Andreas Stolcke, Martin Graciarena, Nicolas Scheffer
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Publication number: 20130166295Abstract: The present invention relates to a method and apparatus for speaker-calibrated speaker detection. One embodiment of a method for generating a speaker model for use in detecting a speaker of interest includes identifying one or more speech features that best distinguish the speaker of interest from a plurality of impostor speakers and then incorporating the speech features in the speaker model.Type: ApplicationFiled: December 21, 2011Publication date: June 27, 2013Inventors: ELIZABETH SHRIBERG, Luciana Ferrer, Andreas Stolcke, Martin Graciarena, Nicolas Scheffer
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Publication number: 20120166365Abstract: The present invention relates to a method and apparatus for tailoring the output of an intelligent automated assistant. One embodiment of a method for conducting an interaction with a human user includes collecting data about the user using a multimodal set of sensors positioned in a vicinity of the user, making a set of inferences about the user in accordance with the data, and tailoring an output to be delivered to the user in accordance with the set of inferences.Type: ApplicationFiled: September 1, 2010Publication date: June 28, 2012Inventors: Gokhan Tur, Horacio E. Franco, Elizabeth Shriberg, Gregory K. Myers, William S. Mark, Norman D. Winarsky, Andreas Stolcke, Bart Peintner, Michael J. Wolverton, Luciana Ferrer, Martin Graciarena, Neil Yorke-Smith
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Patent number: 7769593Abstract: In one embodiment, the present invention is a method and apparatus for active noise cancellation. In one embodiment, a method for recognizing user speech in an audio signal received by a media system (where the audio signal includes user speech and ambient audio output produced by the media system and/or other devices) includes canceling portions of the audio signal associated with the ambient audio output and applying speech recognition processing to an uncancelled remainder of the audio signal.Type: GrantFiled: September 28, 2006Date of Patent: August 3, 2010Assignee: SRI InternationalInventors: Anand Venkataraman, Venkata Ramana Rao Gadde, Martin Graciarena
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Patent number: 7571095Abstract: An apparatus and a concomitant method for recognizing speech in a noisy environment are provided. The present method includes applying a first interpolation weight to a clean speech model to produce a weighted clean speech model, applying a second interpolation weight to a noise model to produce a weighted noise model, and deriving a noisy speech model directly from the weighted clean speech model and the weighted noise model. At least one of the first interpolation weight and the second interpolation weight is computed in a maximum likelihood framework.Type: GrantFiled: August 31, 2005Date of Patent: August 4, 2009Assignee: SRI InternationalInventors: Martin Graciarena, Horacio Franco, Venkata Ramana Rao Gadde
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Publication number: 20080082326Abstract: In one embodiment, the present invention is a method and apparatus for active noise cancellation. In one embodiment, a method for recognizing user speech in an audio signal received by a media system (where the audio signal includes user speech and ambient audio output produced by the media system and/or other devices) includes canceling portions of the audio signal associated with the ambient audio output and applying speech recognition processing to an uncancelled remainder of the audio signal.Type: ApplicationFiled: September 28, 2006Publication date: April 3, 2008Inventors: Anand Venkataraman, Venkata Ramana Rao Gadde, Martin Graciarena
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Publication number: 20080010065Abstract: A method and apparatus for speaker recognition is provided. One embodiment of a method for determining whether a given speech signal is produced by an alleged speaker, where a plurality of statistical models (including at least one support vector machine) have been produced for the alleged speaker based on a previous speech signal received from the alleged speaker, includes receiving the given speech signal, the speech signal representing an utterance made by a speaker claiming to be the alleged speaker, scoring the given speech signal using at least two modeling systems, where at least one of the modeling systems is a support vector machine, combining scores produced by the modeling systems, with equal weights, to produce a final score, and determining, in accordance with the final score, whether the speaker is likely the alleged speaker.Type: ApplicationFiled: June 5, 2007Publication date: January 10, 2008Inventors: Harry BRATT, Luciana Ferrer, Martin Graciarena, Sachin Kajarekar, Elizabeth Shriberg, Mustafa Sonmez, Andreas Stolcke, Gokhan Tur, Anand Venkataraman