公开(公告)号：US20220036657A1

公开(公告)日：2022-02-03

申请号：US16940982

申请日：2020-07-28

Applicant: Rovi Guides, Inc.

Inventor： Aashish Goyal ,  Ajay Kumar Mishra ,  Jeffry Copps Robert Jose

IPC: G06T19/00 ,  G06Q30/02 ,  G06K9/62 ,  G06N20/00

Abstract: Insertion of supplemental content into a virtual environment is automated using a machine learning model. The machine learning model is trained to calculate a confidence value that a candidate virtual object fits into a virtual environment based on an input that includes a candidate virtual object, a list of persistent virtual objects, and a list of temporary virtual objects. The machine learning model is trained using the persistent and temporary objects displayed in the current virtual environment until it predicts that a selected virtual object fits into the current virtual environment. The trained machine learning model is then used to select a virtual object comprising supplemental content to be inserted as a new virtual object in the virtual environment.

公开(公告)号：US20240257482A1

公开(公告)日：2024-08-01

申请号：US18631253

申请日：2024-04-10

Applicant: Rovi Guides, Inc.

Inventor： Aashish Goyal ,  Ajay Kumar Mishra ,  Jeffry Copps Robert Jose

IPC: G06T19/00 ,  G06F18/214 ,  G06N20/00 ,  G06Q30/0241 ,  G06Q30/0251

CPC classification number: G06T19/006 ,  G06F18/214 ,  G06N20/00 ,  G06Q30/0271 ,  G06Q30/0277

Abstract: Insertion of supplemental content into a virtual environment is automated using a machine learning model. The machine learning model is trained to calculate a confidence value that a candidate virtual object fits into a virtual environment based on an input that includes a candidate virtual object, a list of persistent virtual objects, and a list of temporary virtual objects. The machine learning model is trained using the persistent and temporary objects displayed in the current virtual environment until it predicts that a selected virtual object fits into the current virtual environment. The trained machine learning model is then used to select a virtual object comprising supplemental content to be inserted as a new virtual object in the virtual environment.

公开(公告)号：US20210035587A1

公开(公告)日：2021-02-04

申请号：US16528550

申请日：2019-07-31

Applicant: Rovi Guides, Inc.

Inventor： Ankur Aher ,  Indranil Coomar Doss ,  Aashish Goyal ,  Aman Puniyani ,  Kandala Reddy ,  Mithun Umesh

IPC: G10L15/26 ,  G10L15/22 ,  G10L13/02 ,  G10L15/187

Abstract: The system identifies one or more entities or content items among a plurality of stored information. The system generates an audio file based on a first text string that represents the entity or content item. Based on the first text string and at least one speech criterion, the system generating, using a speech-to-text module a second text string based on the audio file. The system then compares the text strings and stores the second text string if it is not identical to the first text string. The system generates metadata that includes results from text-speech-text conversions to forecast possible misidentifications when responding to voice queries during search operations. The metadata includes alternative representations of the entity, to improve reachability in cases where the speech-to-text conversion does generate a pr

公开(公告)号：US20210034662A1

公开(公告)日：2021-02-04

申请号：US16528539

申请日：2019-07-31

Applicant: Rovi Guides, Inc.

Inventor： Ankur Aher ,  Indranil Coomar Doss ,  Aashish Goyal ,  Aman Puniyani ,  Kandala Reddy ,  Mithun Umesh

IPC: G06F16/635 ,  G06F16/68 ,  G10L15/22 ,  G10L15/187 ,  G06F17/27

Abstract: The system receives a voice query at an audio interface and converts the voice query to text. The system can determine pronunciation information during conversion and generate metadata that indicates a pronunciation of one or more words of the query, include phonetic information in the text query, or both. A query includes one or more entities that may be more accurately identified based on pronunciation. The system searches for information, content, or both among one or more databases based on the generated text query, pronunciation information, user profile information, search histories or trends, and optionally other information. The system identifies one or more entities or content items that match the text query, and retrieves the identified information to provide to the user.

公开(公告)号：US11983828B2

公开(公告)日：2024-05-14

申请号：US17572826

申请日：2022-01-11

Applicant: Rovi Guides, Inc.

Inventor： Aashish Goyal ,  Ajay Kumar Mishra ,  Jeffry Copps Robert Jose

IPC: G06T19/00 ,  G06F18/214 ,  G06N20/00 ,  G06Q30/0241 ,  G06Q30/0251

CPC classification number: G06T19/006 ,  G06F18/214 ,  G06N20/00 ,  G06Q30/0271 ,  G06Q30/0277

Abstract: Insertion of supplemental content into a virtual environment is automated using a machine learning model. The machine learning model is trained to calculate a confidence value that a candidate virtual object fits into a virtual environment based on an input that includes a candidate virtual object, a list of persistent virtual objects, and a list of temporary virtual objects. The machine learning model is trained using the persistent and temporary objects displayed in the current virtual environment until it predicts that a selected virtual object fits into the current virtual environment. The trained machine learning model is then used to select a virtual object comprising supplemental content to be inserted as a new virtual object in the virtual environment.

公开(公告)号：US11494434B2

公开(公告)日：2022-11-08

申请号：US16528541

申请日：2019-07-31

Applicant: Rovi Guides, Inc.

Inventor： Ankur Aher ,  Indranil Coomar Doss ,  Aashish Goyal ,  Aman Puniyani ,  Kandala Reddy ,  Mithun Umesh

IPC: G06F16/635 ,  G06F16/68 ,  G06F16/632 ,  G06F16/2457 ,  G10L15/187 ,  G10L15/22 ,  G06F40/295 ,  G10L15/08

Abstract: The system receives a voice query at an audio interface and converts the voice query to text. The system can determine pronunciation information during conversion and generate metadata the indicates a pronunciation of one or more words of the query, include phonetic information in the text query, or both. A query includes one or more entities, which may be more accurately identified based on pronunciation. The system searches for information, content, or both among one or more databases based on the generated text query, pronunciation information, user profile information, search histories or trends, and optionally other information. The system identifies one or more entities or content items that match the text query, and retrieves the identified information to provide to the user.

公开(公告)号：US11410656B2

公开(公告)日：2022-08-09

申请号：US16528550

申请日：2019-07-31

Applicant: Rovi Guides, Inc.

Inventor： Ankur Aher ,  Indranil Coomar Doss ,  Aashish Goyal ,  Aman Puniyani ,  Kandala Reddy ,  Mithun Umesh

IPC: G10L15/26 ,  G10L15/22 ,  G10L15/187 ,  G10L13/02

Abstract: The system identifies one or more entities or content items among a plurality of stored information. The system generates an audio file based on a first text string that represents the entity or content item. Based on the first text string and at least one speech criterion, the system generating, using a speech-to-text module a second text string based on the audio file. The system then compares the text strings and stores the second text string if it is not identical to the first text string. The system generates metadata that includes results from text-speech-text conversions to forecast possible misidentifications when responding to voice queries during search operations. The metadata includes alternative representations of the entity.

公开(公告)号：US20220245901A1

公开(公告)日：2022-08-04

申请号：US17572826

申请日：2022-01-11

Applicant: Rovi Guides, Inc.

Inventor： Aashish Goyal ,  Ajay Kumar Mishra ,  Jeffry Copps Robert Jose

IPC: G06T19/00 ,  G06Q30/02 ,  G06N20/00 ,  G06K9/62

Abstract: Insertion of supplemental content into a virtual environment is automated using a machine learning model. The machine learning model is trained to calculate a confidence value that a candidate virtual object fits into a virtual environment based on an input that includes a candidate virtual object, a list of persistent virtual objects, and a list of temporary virtual objects. The machine learning model is trained using the persistent and temporary objects displayed in the current virtual environment until it predicts that a selected virtual object fits into the current virtual environment. The trained machine learning model is then used to select a virtual object comprising supplemental content to be inserted as a new virtual object in the virtual environment.

公开(公告)号：US11250634B1

公开(公告)日：2022-02-15

申请号：US16940982

申请日：2020-07-28

Applicant: Rovi Guides, Inc.

Inventor： Aashish Goyal ,  Ajay Kumar Mishra ,  Jeffry Copps Robert Jose

IPC: G06T19/00 ,  G06Q30/02 ,  G06N20/00 ,  G06K9/62

Abstract: Insertion of supplemental content into a virtual environment is automated using a machine learning model. The machine learning model is trained to calculate a confidence value that a candidate virtual object fits into a virtual environment based on an input that includes a candidate virtual object, a list of persistent virtual objects, and a list of temporary virtual objects. The machine learning model is trained using the persistent and temporary objects displayed in the current virtual environment until it predicts that a selected virtual object fits into the current virtual environment. The trained machine learning model is then used to select a virtual object comprising supplemental content to be inserted as a new virtual object in the virtual environment.

公开(公告)号：US20210034663A1

公开(公告)日：2021-02-04

申请号：US16528541

申请日：2019-07-31

Applicant: Rovi Guides, Inc.

Inventor： Ankur Aher ,  Indranil Coomar Doss ,  Aashish Goyal ,  Aman Puniyani ,  Kandala Reddy ,  Mithun Umesh

IPC: G06F16/635 ,  G06F16/68 ,  G06F16/632 ,  G06F16/2457 ,  G10L15/22 ,  G10L15/187 ,  G06F17/27

Abstract: The system receives a voice query at an audio interface and converts the voice query to text. The system can determine pronunciation information during conversion and generate metadata the indicates a pronunciation of one or more words of the query, include phonetic information in the text query, or both. A query includes one or more entities, which may be more accurately identified based on pronunciation. The system searches for information, content, or both among one or more databases based on the generated text query, pronunciation information, user profile information, search histories or trends, and optionally other information. The system identifies one or more entities or content items that match the text query, and retrieves the identified information to provide to the user.