Patents by Inventor Piotr Tadeusz Bilinski

Piotr Tadeusz Bilinski 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: 10313818
    Abstract: The derivation of personalized HRTFs for a human subject based on the anthropometric feature parameters of the human subject involves obtaining multiple anthropometric feature parameters and multiple HRTFs of multiple training subjects. Subsequently, multiple anthropometric feature parameters of a human subject are acquired. A representation of the statistical relationship between the plurality of anthropometric feature parameters of the human subject and a subset of the multiple anthropometric feature parameters belonging to the plurality of training subjects is determined. The representation of the statistical relationship is then applied to the multiple HRTFs of the plurality of training subjects to obtain a set of personalized HRTFs for the human subject.
    Type: Grant
    Filed: January 22, 2018
    Date of Patent: June 4, 2019
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
  • Patent number: 10284992
    Abstract: The derivation of personalized HRTFs for a human subject based on the anthropometric feature parameters of the human subject involves obtaining multiple anthropometric feature parameters and multiple HRTFs of multiple training subjects. Subsequently, multiple anthropometric feature parameters of a human subject are acquired. A representation of the statistical relationship between the plurality of anthropometric feature parameters of the human subject and a subset of the multiple anthropometric feature parameters belonging to the plurality of training subjects is determined. The representation of the statistical relationship is then applied to the multiple HRTFs of the plurality of training subjects to obtain a set of personalized HRTFs for the human subject.
    Type: Grant
    Filed: March 30, 2017
    Date of Patent: May 7, 2019
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
  • Patent number: 10244341
    Abstract: The derivation of personalized HRTFs for a human subject based on the anthropometric feature parameters of the human subject involves obtaining multiple anthropometric feature parameters and multiple HRTFs of multiple training subjects. Subsequently, multiple anthropometric feature parameters of a human subject are acquired. A representation of the statistical relationship between the plurality of anthropometric feature parameters of the human subject and a subset of the multiple anthropometric feature parameters belonging to the plurality of training subjects is determined. The representation of the statistical relationship is then applied to the multiple HRTFs of the plurality of training subjects to obtain a set of personalized HRTFs for the human subject.
    Type: Grant
    Filed: March 30, 2017
    Date of Patent: March 26, 2019
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
  • Publication number: 20180146318
    Abstract: The derivation of personalized HRTFs for a human subject based on the anthropometric feature parameters of the human subject involves obtaining multiple anthropometric feature parameters and multiple HRTFs of multiple training subjects. Subsequently, multiple anthropometric feature parameters of a human subject are acquired. A representation of the statistical relationship between the plurality of anthropometric feature parameters of the human subject and a subset of the multiple anthropometric feature parameters belonging to the plurality of training subjects is determined. The representation of the statistical relationship is then applied to the multiple HRTFs of the plurality of training subjects to obtain a set of personalized HRTFs for the human subject.
    Type: Application
    Filed: January 22, 2018
    Publication date: May 24, 2018
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R.P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
  • Patent number: 9900722
    Abstract: The derivation of personalized HRTFs for a human subject based on the anthropometric feature parameters of the human subject involves obtaining multiple anthropometric feature parameters and multiple HRTFs of multiple training subjects. Subsequently, multiple anthropometric feature parameters of a human subject are acquired. A representation of the statistical relationship between the plurality of anthropometric feature parameters of the human subject and a subset of the multiple anthropometric feature parameters belonging to the plurality of training subjects is determined. The representation of the statistical relationship is then applied to the multiple HRTFs of the plurality of training subjects to obtain a set of personalized HRTFs for the human subject.
    Type: Grant
    Filed: April 29, 2014
    Date of Patent: February 20, 2018
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
  • Patent number: 9877136
    Abstract: The derivation of personalized HRTFs for a human subject based on the anthropometric feature parameters of the human subject involves obtaining multiple anthropometric feature parameters and multiple HRTFs of multiple training subjects. Subsequently, multiple anthropometric feature parameters of a human subject are acquired. A representation of the statistical relationship between the plurality of anthropometric feature parameters of the human subject and a subset of the multiple anthropometric feature parameters belonging to the plurality of training subjects is determined. The representation of the statistical relationship is then applied to the multiple HRTFs of the plurality of training subjects to obtain a set of personalized HRTFs for the human subject.
    Type: Grant
    Filed: April 29, 2014
    Date of Patent: January 23, 2018
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
  • Publication number: 20170208413
    Abstract: The derivation of personalized HRTFs for a human subject based on the anthropometric feature parameters of the human subject involves obtaining multiple anthropometric feature parameters and multiple HRTFs of multiple training subjects. Subsequently, multiple anthropometric feature parameters of a human subject are acquired. A representation of the statistical relationship between the plurality of anthropometric feature parameters of the human subject and a subset of the multiple anthropometric feature parameters belonging to the plurality of training subjects is determined. The representation of the statistical relationship is then applied to the multiple HRTFs of the plurality of training subjects to obtain a set of personalized HRTFs for the human subject.
    Type: Application
    Filed: March 30, 2017
    Publication date: July 20, 2017
    Applicant: Microsoft Technology Licensing, LLC
    Inventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
  • Publication number: 20150312694
    Abstract: The derivation of personalized HRTFs for a human subject based on the anthropometric feature parameters of the human subject involves obtaining multiple anthropometric feature parameters and multiple HRTFs of multiple training subjects. Subsequently, multiple anthropometric feature parameters of a human subject are acquired. A representation of the statistical relationship between the plurality of anthropometric feature parameters of the human subject and a subset of the multiple anthropometric feature parameters belonging to the plurality of training subjects is determined. The representation of the statistical relationship is then applied to the multiple HRTFs of the plurality of training subjects to obtain a set of personalized HRTFs for the human subject.
    Type: Application
    Filed: April 29, 2014
    Publication date: October 29, 2015
    Applicant: Microsoft Corporation
    Inventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R.P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston