Mitigating voice frequency loss
    61.
    发明授权

    公开(公告)号:US11854572B2

    公开(公告)日:2023-12-26

    申请号:US17302981

    申请日:2021-05-18

    Abstract: Computer-implemented methods, computer program products, and computer systems for mitigating frequency loss may include one or more processors configured for receiving first audio data corresponding to unobstructed user utterances, receiving second audio data corresponding to first obstructed user utterances, generating a frequency loss (FL) model representing frequency loss between the first audio data and the second audio data, receiving third audio data corresponding to one or more second obstructed user utterances, processing the third audio data using the FL model to generate fourth audio data corresponding to a frequency loss mitigated version of the second obstructed user utterances, and transmitting the fourth audio data to a recipient computing device. The first obstructed user utterances are obstructed by a facemask and the one or more second obstructed user utterances is obstructed by the facemask. The FL model may be executed as an audio plugin in a web conferencing program.

    PRESENTATION CONTENT EFFECTIVENESS USING ATTRACTION MODELING

    公开(公告)号:US20230344665A1

    公开(公告)日:2023-10-26

    申请号:US17660237

    申请日:2022-04-22

    CPC classification number: H04L12/1831 G06Q10/103 H04L12/1822 H04L65/401

    Abstract: An embodiment for determining presentation content effectiveness using attraction modeling is provided. The embodiment may include receiving presentation content from a meeting host during on online collaborative meeting. The embodiment may also include capturing one or more actions of one or more users during a display of the presentation content to the one or more users. The embodiment may further include creating an audience attention model. The embodiment may also include in response to determining at least one user is distracted from the presentation content, modifying the display of the presentation content for each distracted user in accordance with one or more characteristics associated with each distracted user. The embodiment may further include categorizing the one or more users into one or more groups. The embodiment may also include providing visual feedback to the meeting host.

    Response qualification monitoring in real-time chats

    公开(公告)号:US11489793B2

    公开(公告)日:2022-11-01

    申请号:US17100888

    申请日:2020-11-22

    Abstract: Disclosed are techniques to model when authoritative responses are expected to be received in real-time chat dialogues to facilitate monitoring a live real-time chat and connect a participant to provide an authoritative answer at an appropriate time during the live real-time chat. Historical real-time chat dialogues are used to generate a model for when authoritative responses are expected in real-time chats. A live real-time chat is monitored for an ongoing discussion without an authoritative response, and a response latency window of the model for the live real-time chat is adjusted based on the ongoing discussion in the live real-time chat. In some embodiments, upon entering an optimal window of the ongoing discussion of the live real-time chat indicated by the model where it is determined that no authoritative response is yet received, a new participant is connected to the live real-time chat to provide an authoritative response.

    Real-time optimized translation
    66.
    发明授权

    公开(公告)号:US11475226B2

    公开(公告)日:2022-10-18

    申请号:US17026398

    申请日:2020-09-21

    Abstract: In response to determining that a native language of a first user is different from a target language of a message to be transmitted by the first user to a second user, a translation model based on a plurality of language efficacies of the first user is created. An optimal action associated with a translation of the message from the native language to the target language is determined based on the created model and a language efficacy of the first user in the native language. The determined optimal action is performed. The message translation comprising the performed optimal action is transmitted to the second user.

    Learned interaction with a virtual scenario

    公开(公告)号:US11461586B2

    公开(公告)日:2022-10-04

    申请号:US16451493

    申请日:2019-06-25

    Abstract: Providing learned interactions in a virtual reality or augmented reality (collectively, a computer-mediated reality) can include determining a probable physical action of a user interacting with a computer-mediated reality (CMR) environment. A learned interaction corresponding to the probable physical action can be generated based on a CMR-physical action (CMRPA) model that correlates physical actions with results of the physical actions in a CMR scenario of the CMR environment. In response to determining, based on at least one identified characteristic of the user, a statistical likelihood of benefiting the user by providing the learned interaction, a learned interaction corresponding to the probable physical action can be provided to the user.

    STRATIFIED SOCIAL REVIEW RECOMMENDATION

    公开(公告)号:US20220284485A1

    公开(公告)日:2022-09-08

    申请号:US17189389

    申请日:2021-03-02

    Abstract: A computer receives reviews for an item from a plurality of sources. The computer may identify one or more key features of the item. The computer collects user preferences for the one or more key features of the item. The computer calculates odds ratio for each of the one or more key features of the item. The computer determines an affinity measure for each of the one or more key features based on the calculated odds ratio for each of the one or more key features of the item; and generates a forest plot for the item, where the forest plot comprises a summary measure determined using the affinity measure for each of the one or more key features.

    SUMMARIZING MULTI-MODAL CONVERSATIONS IN A MULTI-USER MESSAGING APPLICATION

    公开(公告)号:US20220230639A1

    公开(公告)日:2022-07-21

    申请号:US17714639

    申请日:2022-04-06

    Abstract: An embodiment of a summarization application divides collected conversation data into media and text components. The application implements respective machine learning mechanisms to enhance modeling operations of the text and media components to identify key elements from the conversation. The application generates a headline banner from a group of key elements based on an analysis involving first predetermined criteria. The application also combines additional key elements to the group of key elements to form a second group of key elements. The application generates a summary from the second group of key elements based on a second analysis involving second predetermined criteria. The application presents, via a display, the headline banner according to a first output of the first key element analysis and the summary according to a second output of the second key element analysis.

    SELF-EXECUTING DOCUMENT REVISION
    70.
    发明申请

    公开(公告)号:US20220222429A1

    公开(公告)日:2022-07-14

    申请号:US17147303

    申请日:2021-01-12

    Abstract: Self-executing document revision includes creating a current version of an electronic rendering of a collaborative document based on input received from a user via a communicative coupling with a data communications network. The current version's relevancy is determined by a self-executing document revisor and compared with the relevancy of a prior version of the collaborative document. In response to determining the relevancy of the current version is less than the relevancy of the prior version, one or more segments of one or more electronically stored versions of the collaborative document are selected based on a relevancy of each of the one or more segments, the relevancy of each determined by the self-executing document revisor. The self-executing document revisor generates a graphical representation of a revised version of the collaborative document by merging the one or more segments selected with the current version of the collaborative document.

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