Patents by Inventor Gregoire Tronel

Gregoire Tronel 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).

  • Publication number: 20240069854
    Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.
    Type: Application
    Filed: November 7, 2023
    Publication date: February 29, 2024
    Inventors: Aneesh Vartakavi, Peter C. DiMaria, Michael Gubman, Markus K. Cremer, Cameron Aubrey Summers, Gregoire Tronel
  • Patent number: 11853645
    Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.
    Type: Grant
    Filed: November 28, 2022
    Date of Patent: December 26, 2023
    Assignee: Gracenote, Inc.
    Inventors: Aneesh Vartakavi, Peter C. DiMaria, Michael Gubman, Markus K. Cremer, Cameron Aubrey Summers, Gregoire Tronel
  • Publication number: 20230088943
    Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.
    Type: Application
    Filed: November 28, 2022
    Publication date: March 23, 2023
    Inventors: Aneesh Vartakavi, Peter C. DiMaria, Michael Gubman, Markus K. Cremer, Cameron Aubrey Summers, Gregoire Tronel
  • Patent number: 11513760
    Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.
    Type: Grant
    Filed: April 1, 2020
    Date of Patent: November 29, 2022
    Assignee: GRACENOTE, INC.
    Inventors: Aneesh Vartakavi, Peter C. DiMaria, Michael Gubman, Markus K. Cremer, Cameron Aubrey Summers, Gregoire Tronel
  • Publication number: 20200233637
    Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.
    Type: Application
    Filed: April 1, 2020
    Publication date: July 23, 2020
    Inventors: Aneesh Vartakavi, Peter C. DiMaria, Michael Gubman, Markus K. Cremer, Cameron Aubrey Summers, Gregoire Tronel
  • Patent number: 10613821
    Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.
    Type: Grant
    Filed: August 13, 2018
    Date of Patent: April 7, 2020
    Assignee: Gracenote, Inc.
    Inventors: Aneesh Vartakavi, Peter C. DiMaria, Michael Gubman, Markus K. Cremer, Cameron Aubrey Summers, Gregoire Tronel
  • Publication number: 20190042180
    Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.
    Type: Application
    Filed: August 13, 2018
    Publication date: February 7, 2019
    Inventors: Aneesh Vartakavi, Peter C. DiMaria, Michael Gubman, Markus K. Cremer, Cameron Aubrey Summers, Gregoire Tronel
  • Patent number: 10048931
    Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.
    Type: Grant
    Filed: September 29, 2017
    Date of Patent: August 14, 2018
    Assignee: Gracenote, Inc.
    Inventors: Aneesh Vartakavi, Peter C. DiMaria, Michael Gubman, Markus K. Cremer, Cameron Aubrey Summers, Gregoire Tronel
  • Publication number: 20180024810
    Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.
    Type: Application
    Filed: September 29, 2017
    Publication date: January 25, 2018
    Inventors: Aneesh Vartakavi, Peter C. DiMaria, Michael Gubman, Markus K. Cremer, Cameron Aubrey Summers, Gregoire Tronel
  • Patent number: 9792084
    Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.
    Type: Grant
    Filed: December 28, 2015
    Date of Patent: October 17, 2017
    Assignee: GRACENOTE, INC.
    Inventors: Aneesh Vartakavi, Peter C. DiMaria, Michael Gubman, Markus K. Cremer, Cameron Aubrey Summers, Gregoire Tronel
  • Publication number: 20160196105
    Abstract: A machine is configured to identify a media file that, when played to a user, is likely to modify an emotional or physical state of the user to or towards a target emotional or physical state. The machine accesses play counts that quantify playbacks of media files for the user. The playbacks may be locally performed or detected by the machine from ambient sound. The machine accesses arousal scores of the media files and determines a distribution of the play counts over the arousal scores. The machine uses one or more relative maxima in the distribution in selecting a target arousal score for the user based on contextual data that describes an activity of the user. The machine selects one or more media files based on the target arousal score. The machine may then cause the selected media file to be played to the user.
    Type: Application
    Filed: December 28, 2015
    Publication date: July 7, 2016
    Inventors: Aneesh Vartakavi, Peter C. DiMaria, Michael Gubman, Markus K. Cremer, Cameron Aubrey Summers, Gregoire Tronel