Patents by Inventor Sunil Ganpatrao Bharitkar

Sunil Ganpatrao Bharitkar 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: 11853472
    Abstract: An example non-transitory computer-readable storage medium comprises instructions that, when executed by a processing resource of a computing device, cause the processing resource to, responsive to identifying a spatial area of attention of a gaze of a user, enhance audio associated with the spatial area of attention. The instructions further cause the processing resource to modify the enhancing based at least in part on a physiological observation of the user while hearing the audio.
    Type: Grant
    Filed: April 5, 2019
    Date of Patent: December 26, 2023
    Assignee: Hewlett-Packard Development Company, L.P.
    Inventors: Rafael Antonio Ballagas, Sunil Ganpatrao Bharitkar
  • Publication number: 20220113801
    Abstract: An example non-transitory computer-readable storage medium comprises instructions that, when executed by a processing resource of a computing device, cause the processing resource to generate haptics metadata using audio-haptics classification based at least in part on spatial audio associated with a digital environment. The instructions further cause the processing resource to encode the spatial audio with the haptics metadata to generate a rendering package.
    Type: Application
    Filed: April 26, 2019
    Publication date: April 14, 2022
    Applicant: Hewlett-Packard Development Company, L.P.
    Inventors: Sunil Ganpatrao Bharitkar, Rafael Antonio Ballagas, Kevin Lee Smathers, Sarthak Ghosh, Madhu Sudan Athreya
  • Publication number: 20220095071
    Abstract: The present disclosure describes techniques for adding a perception of directionality to audio. The method includes training an artificial neural network using a binary encoded set of head related transfer function (HRTF) angle values to generate a trained artificial neural network. The binary encoded set of HRTF angle values includes binary encoded azimuth angle values and binary encoded elevation angle values. The method also includes predicting output data using the trained artificial neural network. The output data represents a new head related transfer function reconstructed for a specified direction.
    Type: Application
    Filed: April 9, 2019
    Publication date: March 24, 2022
    Applicant: Hewlett-Packard Development Company, L.P.
    Inventor: Sunil Ganpatrao Bharitkar
  • Publication number: 20220026986
    Abstract: An example non-transitory computer-readable storage medium comprises instructions that, when executed by a processing resource of a computing device, cause the processing resource to, responsive to identifying a spatial area of attention of a gaze of a user, enhance audio associated with the spatial area of attention. The instructions further cause the processing resource to modify the enhancing based at least in part on a physiological observation of the user while hearing the audio.
    Type: Application
    Filed: April 5, 2019
    Publication date: January 27, 2022
    Applicant: Hewlett-Packard Development Company, L.P.
    Inventors: Rafael Antonio Ballagas, Sunil Ganpatrao Bharitkar