Patents Assigned to Hume AI Inc.
  • Publication number: 20240232297
    Abstract: Embodiments of the present disclosure provide systems and methods for training a machine-learning model for predicting emotions from received media data. Methods according to the present disclosure include displaying a user interface. The user interface includes a predefined media content, a plurality of predefined emotion tags, and a user interface control for controlling a recording of the user imitating the predefined media content. Methods can further include receiving, from a user, a selection of one or more emotion tags from the plurality of predefined emotion tags, receiving the recording of the user imitating the predefined media content, storing the recording in association with the selected one or more emotion tags, and training, based on the recording, the machine-learning model configured to receive input media data and predict an emotion based on the input media data.
    Type: Application
    Filed: May 23, 2023
    Publication date: July 11, 2024
    Applicant: Hume AI Inc.
    Inventors: Alan COWEN, Dacher KELTNER, Bill SCHOENFELD
  • Patent number: 12032660
    Abstract: Embodiments of the present disclosure provide systems and methods for training a machine-learning model for predicting emotions from received media data. Methods according to the present disclosure include displaying a user interface. The user interface includes a predefined media content, a plurality of predefined emotion tags, and a user interface control for controlling a recording of the user imitating the predefined media content. Methods can further include receiving, from a user, a selection of one or more emotion tags from the plurality of predefined emotion tags, receiving the recording of the user imitating the predefined media content, storing the recording in association with the selected one or more emotion tags, and training, based on the recording, the machine-learning model configured to receive input media data and predict an emotion based on the input media data.
    Type: Grant
    Filed: May 23, 2023
    Date of Patent: July 9, 2024
    Assignee: Hume AI, Inc.
    Inventors: Alan Cowen, Dacher Keltner, Bill Schoenfeld
  • Publication number: 20240134940
    Abstract: Embodiments of the present disclosure provide systems and methods for training a machine-learning model for predicting emotions from received media data. Methods according to the present disclosure include displaying a user interface. The user interface includes a predefined media content, a plurality of predefined emotion tags, and a user interface control for controlling a recording of the user imitating the predefined media content. Methods can further include receiving, from a user, a selection of one or more emotion tags from the plurality of predefined emotion tags, receiving the recording of the user imitating the predefined media content, storing the recording in association with the selected one or more emotion tags, and training, based on the recording, the machine-learning model configured to receive input media data and predict an emotion based on the input media data.
    Type: Application
    Filed: May 22, 2023
    Publication date: April 25, 2024
    Applicant: Hume AI Inc.
    Inventors: Alan COWEN, Dacher KELTNER, Bill SCHOENFELD
  • Patent number: 11698947
    Abstract: Embodiments of the present disclosure provide systems and methods for training a machine-learning model for predicting emotions from received media data. Methods according to the present disclosure include displaying a user interface. The user interface includes a predefined media content, a plurality of predefined emotion tags, and a user interface control for controlling a recording of the user imitating the predefined media content. Methods can further include receiving, from a user, a selection of one or more emotion tags from the plurality of predefined emotion tags, receiving the recording of the user imitating the predefined media content, storing the recording in association with the selected one or more emotion tags, and training, based on the recording, the machine-learning model configured to receive input media data and predict an emotion based on the input media data.
    Type: Grant
    Filed: October 13, 2022
    Date of Patent: July 11, 2023
    Assignee: Hume AI Inc.
    Inventors: Alan Cowen, Dacher Keltner, Bill Schoenfeld
  • Publication number: 20230096485
    Abstract: Embodiments of the present disclosure provide systems and methods for training a machine-learning model for predicting emotions from received media data. Methods according to the present disclosure include displaying a user interface. The user interface includes a predefined media content, a plurality of predefined emotion tags, and a user interface control for controlling a recording of the user imitating the predefined media content. Methods can further include receiving, from a user, a selection of one or more emotion tags from the plurality of predefined emotion tags, receiving the recording of the user imitating the predefined media content, storing the recording in association with the selected one or more emotion tags, and training, based on the recording, the machine-learning model configured to receive input media data and predict an emotion based on the input media data.
    Type: Application
    Filed: October 13, 2022
    Publication date: March 30, 2023
    Applicant: Hume AI Inc.
    Inventors: Alan COWEN, Dacher KELTNER, Bill SCHOENFELD
  • Patent number: 11551031
    Abstract: Embodiments of the present disclosure provide systems and methods for training a machine-learning model for predicting emotions from received media data. Methods according to the present disclosure include displaying a user interface. The user interface includes a predefined media content, a plurality of predefined emotion tags, and a user interface control for controlling a recording of the user imitating the predefined media content. Methods can further include receiving, from a user, a selection of one or more emotion tags from the plurality of predefined emotion tags, receiving the recording of the user imitating the predefined media content, storing the recording in association with the selected one or more emotion tags, and training, based on the recording, the machine-learning model configured to receive input media data and predict an emotion based on the input media data.
    Type: Grant
    Filed: May 11, 2022
    Date of Patent: January 10, 2023
    Assignee: Hume AI Inc.
    Inventors: Alan Cowen, Dacher Keltner, Bill Schoenfeld
  • Publication number: 20220398411
    Abstract: Embodiments of the present disclosure provide systems and methods for training a machine-learning model for predicting emotions from received media data. Methods according to the present disclosure include displaying a user interface. The user interface includes a predefined media content, a plurality of predefined emotion tags, and a user interface control for controlling a recording of the user imitating the predefined media content. Methods can further include receiving, from a user, a selection of one or more emotion tags from the plurality of predefined emotion tags, receiving the recording of the user imitating the predefined media content, storing the recording in association with the selected one or more emotion tags, and training, based on the recording, the machine-learning model configured to receive input media data and predict an emotion based on the input media data.
    Type: Application
    Filed: May 11, 2022
    Publication date: December 15, 2022
    Applicant: Hume AI Inc.
    Inventors: Alan COWEN, Dacher KELTNER, Bill SCHOENFELD