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).
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Patent number: 10313818Abstract: 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: GrantFiled: January 22, 2018Date of Patent: June 4, 2019Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
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Patent number: 10284992Abstract: 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: GrantFiled: March 30, 2017Date of Patent: May 7, 2019Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
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Patent number: 10244341Abstract: 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: GrantFiled: March 30, 2017Date of Patent: March 26, 2019Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
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Publication number: 20180146318Abstract: 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: ApplicationFiled: January 22, 2018Publication date: May 24, 2018Applicant: Microsoft Technology Licensing, LLCInventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R.P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
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Patent number: 9900722Abstract: 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: GrantFiled: April 29, 2014Date of Patent: February 20, 2018Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
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Patent number: 9877136Abstract: 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: GrantFiled: April 29, 2014Date of Patent: January 23, 2018Assignee: MICROSOFT TECHNOLOGY LICENSING, LLCInventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
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Publication number: 20170208413Abstract: 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: ApplicationFiled: March 30, 2017Publication date: July 20, 2017Applicant: Microsoft Technology Licensing, LLCInventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R. P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston
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Publication number: 20150312694Abstract: 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: ApplicationFiled: April 29, 2014Publication date: October 29, 2015Applicant: Microsoft CorporationInventors: Piotr Tadeusz Bilinski, Jens Ahrens, Mark R.P. Thomas, Ivan J. Tashev, John C. Platt, David E. Johnston