Patents by Inventor Francois Charette

Francois Charette 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).

  • Patent number: 10978183
    Abstract: Provided is a lab clearinghouse device configured to efficiently and effectively approve medical tests across a plurality of medical laboratories, medical providers, and lab payers. The lab clearinghouse device is configured to communicate with a plurality of medical laboratories, medical providers, and lab payers to efficiently and effectively approve, direct, and manage medical tests.
    Type: Grant
    Filed: February 5, 2018
    Date of Patent: April 13, 2021
    Assignee: Optum, Inc.
    Inventors: John L. Wilson, François Charette
  • Patent number: 10957317
    Abstract: A computing system can determine a vehicle command based on a received spoken language command and determined confidence levels. The computing system can operate a vehicle based on the vehicle command. The computing system can further determine the spoken language command by processing audio spectrum data corresponding to spoken natural language with an automatic speech recognition (ASR) system.
    Type: Grant
    Filed: October 18, 2018
    Date of Patent: March 23, 2021
    Assignee: Ford Global Technologies, LLC
    Inventors: Lisa Scaria, Ryan Burke, Praveen Narayanan, Francois Charette
  • Publication number: 20210064047
    Abstract: A computer, including a processor and a memory, the memory including instructions to be executed by the processor to generate a first color image of a road environment, determine one or more value decompositions of one or more of the red, green, and blue channels of the first color image, obtain one or more modified singular value decompositions by modifying respective ones of the singular value decompositions by a non-linear equation and reconstruct a second color image based on the modified one or more singular value decompositions. The instructions can include further instructions to train a deep neural network based on the second color image and operate a vehicle based on the deep neural network.
    Type: Application
    Filed: August 29, 2019
    Publication date: March 4, 2021
    Applicant: Ford Global Technologies, LLC
    Inventors: FRANCOIS CHARETTE, JOSE ENRIQUE SOLOMON
  • Patent number: 10937438
    Abstract: Systems, methods, and devices for speech transformation and generating synthetic speech using deep generative models are disclosed. A method of the disclosure includes receiving input audio data comprising a plurality of iterations of a speech utterance from a plurality of speakers. The method includes generating an input spectrogram based on the input audio data and transmitting the input spectrogram to a neural network configured to generate an output spectrogram. The method includes receiving the output spectrogram from the neural network and, based on the output spectrogram, generating synthetic audio data comprising the speech utterance.
    Type: Grant
    Filed: March 29, 2018
    Date of Patent: March 2, 2021
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Praveen Narayanan, Lisa Scaria, Francois Charette, Ashley Elizabeth Micks, Ryan Burke
  • Patent number: 10930391
    Abstract: Provided is a lab clearinghouse device configured to reduce fraud, waste, and abuse in the ordering and performance of medical testing. The lab clearinghouse device is configured to communicate with a plurality of medical laboratories, medical providers, and lab payers to efficiently and effectively reduce fraud, waste, and abuse in the ordering and performance of medical testing.
    Type: Grant
    Filed: February 5, 2018
    Date of Patent: February 23, 2021
    Assignee: Optum, Inc.
    Inventors: John L. Wilson, François Charette
  • Patent number: 10891951
    Abstract: A computing system can translate a spoken natural language command into an intermediate constructed language command with a first deep neural network and determine a vehicle command and an intermediate constructed language response with a second deep neural network based on receiving vehicle information. The computing system can translate the intermediate constructed language response into a spoken natural language response with a third deep neural network and operate a vehicle based on the vehicle command.
    Type: Grant
    Filed: October 17, 2018
    Date of Patent: January 12, 2021
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Lisa Scaria, Praveen Narayanan, Francois Charette, Ryan Burke
  • Patent number: 10891949
    Abstract: A computing system can be programmed to receive a spoken language command in response to emitting a spoken language cue and process the spoken language command with a generalized adversarial neural network (GAN) to determine a vehicle command. The computing system can be further programmed to operate a vehicle based on the vehicle command.
    Type: Grant
    Filed: September 10, 2018
    Date of Patent: January 12, 2021
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Praveen Narayanan, Lisa Scaria, Ryan Burke, Francois Charette, Punarjay Chakravarty, Kaushik Balakrishnan
  • Publication number: 20200411018
    Abstract: A speech conversion system is described that includes a hierarchical encoder and a decoder. The system may comprise a processor and memory storing instructions executable by the processor. The instructions may comprise to: using a second recurrent neural network (RNN) (GRU1) and a first set of encoder vectors derived from a spectrogram as input to the second RNN, determine a second concatenated sequence; determine a second set of encoder vectors by doubling a stack height and halving a length of the second concatenated sequence; using the second set of encoder vectors, determine a third set of encoder vectors; and decode the third set of encoder vectors using an attention block.
    Type: Application
    Filed: June 28, 2019
    Publication date: December 31, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: Punarjay Chakravarty, Lisa Scaria, Ryan Burke, Francois Charette, Praveen Narayanan
  • Patent number: 10839230
    Abstract: A method for controlling an autonomous vehicle is disclosed. The method may include receiving image data. The image data may be logistically classified by a first neural network as pertaining to one situation of a plurality of situations. Based on this logistic classification, the image data may be assigned to a second neural network that is specifically trained to address the one situation. The second neural network may perform regression on the image data. Thereafter, the vehicle may be control with a command based on the regression.
    Type: Grant
    Filed: September 6, 2018
    Date of Patent: November 17, 2020
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Francois Charette, Jose Solomon
  • Patent number: 10832067
    Abstract: A vehicle is disclosed that includes systems for adjusting the transmittance of one or more windows of the vehicle. The vehicle may include a camera outputting images taken of an occupant within the vehicle. The vehicle may also include an artificial neural network running on computer hardware carried on-board the vehicle. The artificial neural network may be trained to classify the occupant of the vehicle using the images captured by the camera as input. The vehicle may further include a controller controlling transmittance of the one or more windows based on classifications made by the artificial neural network. For example, if the artificial neural network classifies the occupant as squinting or shading his or her eyes with a hand, the controller may reduce the transmittance of a windshield, side window, or some combination thereof.
    Type: Grant
    Filed: August 20, 2018
    Date of Patent: November 10, 2020
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Scott Vincent Myers, Alexandro Walsh, Francois Charette, Lisa Scaria
  • Publication number: 20200126544
    Abstract: A computing system can translate a spoken natural language command into an intermediate constructed language command with a first deep neural network and determine a vehicle command and an intermediate constructed language response with a second deep neural network based on receiving vehicle information. The computing system can translate the intermediate constructed language response into a spoken natural language response with a third deep neural network and operate a vehicle based on the vehicle command.
    Type: Application
    Filed: October 17, 2018
    Publication date: April 23, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: Lisa Scaria, Praveen Narayanan, Francois Charette, Ryan Burke
  • Publication number: 20200126546
    Abstract: A computing system can determine a vehicle command based on a received spoken language command and determined confidence levels. The computing system can operate a vehicle based on the vehicle command. The computing system can further determine the spoken language command by processing audio spectrum data corresponding to spoken natural language with an automatic speech recognition (ASR) system.
    Type: Application
    Filed: October 18, 2018
    Publication date: April 23, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: LISA SCARIA, RYAN BURKE, PRAVEEN NARAYANAN, FRANCOIS CHARETTE
  • Publication number: 20200082817
    Abstract: A computing system can be programmed to receive a spoken language command in response to emitting a spoken language cue and process the spoken language command with a generalized adversarial neural network (GAN) to determine a vehicle command. The computing system can be further programmed to operate a vehicle based on the vehicle command.
    Type: Application
    Filed: September 10, 2018
    Publication date: March 12, 2020
    Applicant: Ford Global Technologies, LLC
    Inventors: Praveen Narayanan, Lisa Scaria, Ryan Burke, Francois Charette, Punarjay Chakravarty, Kaushik Balakrishnan
  • Publication number: 20200082174
    Abstract: A method for controlling an autonomous vehicle is disclosed. The method may include receiving image data. The image data may be logistically classified by a first neural network as pertaining to one situation of a plurality of situations. Based on this logistic classification, the image data may be assigned to a second neural network that is specifically trained to address the one situation. The second neural network may perform regression on the image data. Thereafter, the vehicle may be control with a command based on the regression.
    Type: Application
    Filed: September 6, 2018
    Publication date: March 12, 2020
    Inventors: Francois Charette, Jose Solomon
  • Patent number: 10475466
    Abstract: This disclosure generally relates to a system, apparatus, and method for achieving an adaptive vehicle state-based hands free noise reduction feature. A noise reduction tool is provided for adaptively applying a noise reduction strategy on a sound input that uses feedback speech quality measures and machine learning to develop future noise reduction strategies, where the noise reduction strategies include analyzing vehicle operational state information and external information that are predicted to contribute to cabin noise and selecting noise reducing pre-filter options based on the analysis.
    Type: Grant
    Filed: July 17, 2014
    Date of Patent: November 12, 2019
    Assignee: Ford Global Technologies, LLC
    Inventors: Francois Charette, Anthony Dwayne Cooprider, Paul J Joseph Nicastri, Yuksel Gur, Scott Andrew Amman, Gintaras Vincent Puskorius
  • Patent number: 10475447
    Abstract: A processor of a vehicle speech recognition system recognizes speech via domain-specific language and acoustic models. The processor further, in response to the acoustic model having a confidence score for recognized speech falling within a predetermined range defined relative to a confidence score for the domain-specific language model, recognizes speech via the acoustic model only.
    Type: Grant
    Filed: January 25, 2016
    Date of Patent: November 12, 2019
    Assignee: Ford Global Technologies, LLC
    Inventors: An Ji, Scott Andrew Amman, Brigitte Frances Mora Richardson, John Edward Huber, Francois Charette, Ranjani Rangarajan, Gintaras Vincent Puskorius, Ali Hassani
  • Publication number: 20190304480
    Abstract: Systems, methods, and devices for speech transformation and generating synthetic speech using deep generative models are disclosed. A method of the disclosure includes receiving input audio data comprising a plurality of iterations of a speech utterance from a plurality of speakers. The method includes generating an input spectrogram based on the input audio data and transmitting the input spectrogram to a neural network configured to generate an output spectrogram. The method includes receiving the output spectrogram from the neural network and, based on the output spectrogram, generating synthetic audio data comprising the speech utterance.
    Type: Application
    Filed: March 29, 2018
    Publication date: October 3, 2019
    Inventors: Praveen Narayanan, Lisa Scaria, Francois Charette, Ashley Elizabeth Micks, Ryan Burke
  • Patent number: 10427645
    Abstract: A vehicle is disclosed that uses data from different types of on-board sensors to determine whether meteorological precipitation is failing near the vehicle. The vehicle may include an on-board camera capturing image data and an on-board accelerometer capturing accelerometer data. The image data may characterize an area in front of or behind the vehicle. The accelerometer data may characterize vibrations of a windshield of the vehicle. An artificial neural network may run on computer hardware carried on-board the vehicle. The artificial neural network may be trained to classify meteorological precipitation in an environment of the vehicle using the image data and the accelerometer data as inputs. The classifications of the artificial neural network may be used to control one or more functions of the vehicle such as windshield-wiper speed, traction-control settings, or the like.
    Type: Grant
    Filed: October 6, 2016
    Date of Patent: October 1, 2019
    Assignee: FORD GLOBAL TECHNOLOGIES, LLC
    Inventors: Ramchandra Ganesh Karandikar, Nikhil Nagraj Rao, Scott Vincent Myers, Francois Charette
  • Publication number: 20190244706
    Abstract: Provided is a lab clearinghouse device configured to reduce fraud, waste, and abuse in the ordering and performance of medical testing. The lab clearinghouse device is configured to communicate with a plurality of medical laboratories, medical providers, and lab payers to efficiently and effectively reduce fraud, waste, and abuse in the ordering and performance of medical testing.
    Type: Application
    Filed: February 5, 2018
    Publication date: August 8, 2019
    Inventors: John L. WILSON, François CHARETTE
  • Publication number: 20190244687
    Abstract: Provided is a lab clearinghouse device configured to provide centralized management of medical tests across a plurality of medical providers, a plurality of lab payers, and a plurality of laboratories. The lab clearinghouse device is configured to communicate with a plurality of medical laboratories, medical providers, and lab payers to efficiently and effectively order and manage medical testing.
    Type: Application
    Filed: February 5, 2018
    Publication date: August 8, 2019
    Inventors: John L. WILSON, François CHARETTE