Patents by Inventor Elizabeth E. Shriberg
Elizabeth E. Shriberg 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: 11942194Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.Type: GrantFiled: February 14, 2022Date of Patent: March 26, 2024Assignee: Ellipsis Health, Inc.Inventors: Elizabeth E. Shriberg, Michael Aratow, Mainul Islam, Amir Hossein Harati Nejad Torbati, Tomasz Rutowski, David Lin, Yang Lu, Farshid Haque, Robert D. Rogers
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Publication number: 20240087752Abstract: Disclosed is a method for detecting a behavioral or mental health condition. The method includes (a) receiving an input signal comprising a plurality of audio or lexical characteristics of speech of a subject. At least one of the plurality of audio or lexical characteristics of the speech relates to at least one language. The method also includes (b) based at least in part on the plurality of audio or lexical characteristics of the input signal, selecting one or more acoustic or natural language processing (NLP) models. At least one of the acoustic or NLP models is a multi-lingual or language-independent model. The method also includes (c) detecting a result indicating a presence or absence of the behavioral or mental health condition by processing the input signal with a joint model or a fused model derived from the one or more acoustic or natural language processing models.Type: ApplicationFiled: February 3, 2022Publication date: March 14, 2024Inventors: Tomasz RUTOWSKI, Amir Hosein HARATI NEJAD TORBATI, Elizabeth E. SHRIBERG
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Publication number: 20220328064Abstract: The present disclosure provides acoustic and natural language processing (NLP) models for predicting whether a subject has a behavioral or mental health state of interest based at least in part on input speech from said subject.Type: ApplicationFiled: April 22, 2022Publication date: October 13, 2022Inventors: Elizabeth E. Shriberg, Amir Hossein Harati Nejad Torbati, Tomasz Rutowski, Michael Aratow, Mainul Islam, Yang Lu, Piotr Chlebek, Melissa McCool, David Lin
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Publication number: 20220199205Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.Type: ApplicationFiled: August 11, 2021Publication date: June 23, 2022Inventors: Elizabeth E. Shriberg, Michael Aratow, Mainul Islam, Amir Hossein Harati Nejad Torbati, Tomasz Rutowski, David Lin, Yang Lu, Farshid Haque, Robert D. Rogers
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Publication number: 20220165371Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.Type: ApplicationFiled: February 14, 2022Publication date: May 26, 2022Inventors: Elizabeth E. Shriberg, Michael Aratow, Mainul Islam, Amir Hossein Harati Nejad Torbati, Tomasz Rutowski, David Lin, Yang Lu, Farshid Haque, Robert D. Rogers
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Patent number: 11120895Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.Type: GrantFiled: December 21, 2020Date of Patent: September 14, 2021Assignee: Ellipsis Health, Inc.Inventors: Elizabeth E. Shriberg, Michael Aratow, Mainul Islam, Amir Hossein Harati Nejad Torbati, Tomasz Rutowski, David Lin, Yang Lu, Farshid Haque, Robert D. Rogers
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Publication number: 20210110895Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.Type: ApplicationFiled: December 22, 2020Publication date: April 15, 2021Inventors: Elizabeth E. Shriberg, Michael Aratow, Mainul Islam, Amir Hossein Harati Nejad Torbati, Tomasz Rutowski, David Lin, Yang Lu, Farshid Haque, Robert D. Rogers
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Publication number: 20210110894Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.Type: ApplicationFiled: December 21, 2020Publication date: April 15, 2021Inventors: Elizabeth E. Shriberg, Michael Aratow, Mainul Islam, Amir Hossein Harati Nejad Torbati, Tomasz Rutowski, David Lin, Yang Lu, Farshid Haque, Robert D. Rogers
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Publication number: 20200321082Abstract: A behavioral health survey confidence annotation machine determines a degree of confidence in the reliability of a survey taker's responses given in a behavioral health survey. The degree of confidence reflects consistencies in the survey results themselves and data about the survey taker. The degree of confidence can also reflect consistency between results of multiple instances of the survey taken contemporaneously, i.e., within a single session with the survey taker. Culling of health survey results produces a corpus of health survey result data more greater confidence in the reliability of its results. Survey takers whose health survey results are consistently unreliable can be identified.Type: ApplicationFiled: April 5, 2019Publication date: October 8, 2020Inventors: Elizabeth E. Shriberg, Yang Lu, Amir Harati
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Patent number: 10748644Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.Type: GrantFiled: September 4, 2019Date of Patent: August 18, 2020Assignee: Ellipsis Health, Inc.Inventors: Elizabeth E. Shriberg, Michael Aratow, Mainul Islam, Amir Hossein Harati Nejad Torbati, Tomasz Rutowski, David Lin, Yang Lu, Farshid Haque, Robert D. Rogers
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Publication number: 20200118458Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.Type: ApplicationFiled: September 4, 2019Publication date: April 16, 2020Inventors: Elizabeth E. Shriberg, Michael Aratow, Mainul Islam, Amir Harati, Tomasz Rutowski, David Lin, Yang Lu, Farshid Haque, Robert D. Rogers
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Publication number: 20190385711Abstract: The present disclosure provides systems and methods for assessing a mental state of a subject in a single session or over multiple different sessions, using for example an automated module to present and/or formulate at least one query based in part on one or more target mental states to be assessed. The query may be configured to elicit at least one response from the subject. The query may be transmitted in an audio, visual, and/or textual format to the subject to elicit the response. Data comprising the response from the subject can be received. The data can be processed using one or more individual, joint, or fused models. One or more assessments of the mental state associated with the subject can be generated for the single session, for each of the multiple different sessions, or upon completion of one or more sessions of the multiple different sessions.Type: ApplicationFiled: July 26, 2019Publication date: December 19, 2019Inventors: Elizabeth E. Shriberg, Michael Aratow, Mainul Islam, Amir Harati, Tomasz Rutowski, David Lin, Yang Lu, Farshid Haque, Robert D. Rogers