Mitel Networks

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of capturing data from an event; after conclusion of the event, isolating the captured data; analyzing the isolated data to determine one or more categories for the isolated data; extracting one or more facts from the data based on relevance to the event and accuracy; concatenating the one or more facts into knowledge units; grouping related knowledge units based on the one or more determined categories; and creating and training the targeted generative model using the knowledge units, wherein the targeted generative model is trained and operates within a secure, isolated environment, restricted to event-specific data, and while leveraging generative model infrastructure. Other embodiments are disclosed herein.

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of receiving videoconferencing data of the user from a videoconferencing software; determining one or more multimodal diagnostic features from the videoconferencing data; analyzing the one or more multimodal diagnostic features to determine one or more target datapoints; storing the one or more target datapoints in a data registering apparatus; determining a cumulative severity of health from the one or more target datapoints and the plurality of health datapoints; determining a health anomaly has occurred based on a comparison of the cumulative severity to a predetermined threshold; based on the determined health anomaly, recompiling the one or more target datapoints to confirm the health anomaly; and sending the health anomaly to an external device.

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of receiving, via the one or more sensors, real-time physiological and behavioral data of the user; analyzing, using a machine learning model, the physiological and behavioral data to determine a cognitive or sensory state of the user; identifying, based on the determined cognitive or sensory state, one or more specific needs of the user; and modifying, based on the one or more identified specific needs, one or more digital environment elements of the communication apparatus to address the cognitive or sensory state of the user. Other embodiments are disclosed herein.

The present invention relates to a method and a system for efficient content updates in real-time conferences. The proposed approach utilizes advanced generative AI and natural language processing (NLP) to continuously analyze and integrate annotations during the presentation. The inventive method and system are able to classify and summarize feedback, group similar annotations, and update the presentation content in real-time. This includes creating new content when necessary and adjusting existing content to reflect audience input. The integration is done contextually, ensuring that updates are relevant and maintain the presentation's flow.

Systems and methods for creating a mixed index in a computerized data storage system. The systems and methods configured to receive a file for input into a data storage system, generate one or more segments of data from the plurality of data of the file, store, in a first index in the data storage system, the one or more segments of data, compare the one or more segments of data to an electronic library to retrieve results in the library at or above a threshold of similarity, store the results in a second index in the data storage system, and generate a mixed index in the data storage system based on the first index and the second index, the mixed index comprising the one or more segments of data from the first index and semantically related terms from the second index.

Systems and methods including one or more processors and one or more non-transitory storage devices storing computing instructions configured to run on the one or more processors and perform acts of analyzing historical videoconference data for a plurality of video conference participants to define one or more engagement metrics; receiving one or more video conference feeds comprising the at least one video conference participant; analyzing one or more contributions of the at least one video conference participant during the one or more video conference feeds using at least one of the historical videoconference data, the one or more behavioral science labels, the one or more engagement metrics, and a predictive software application; generating a real time engagement score for the at least one video conference participant based on the analysis of the one or more contributions; and coordinating displaying the real time engagement score. Other embodiments are disclosed herein.

A computer-implemented method for enhancing intelligibility of a participant in a meeting, that includes identifying, using at least a detection mechanism, when speech intelligibility and/or audio intelligibility of the participant of a plurality of participants in the meeting is impacted by one or more environmental conditions; upon evaluating, using at least a simulated human auditory model, noise types of speech of the participant in the meeting based at least partially on the speech intelligibility and/or the audio intelligibility of the participant, creating a local transcription of the speech by the participant in the meeting; and mapping, using at least a digital voice model, the local transcription onto a voice simulation of the participant to replicate vocal characteristics of the speech by the participant during the meeting.

A method and a system for enhanced information broadcasting are disclosed. A method according to the present invention may leverage artificial intelligence (AI) to convert spoken words into video clips in real time. The duration of these clips may be designed to be flexible, even in a customizable manner: long enough to capture the essence of the content being presented, yet short enough to maintain the natural flow of the conversation. Thus, the present invention offers tailored video content to meet real time needs of meeting participants by adapting to individual roles, priorities, and even calendar availability. The present invention dynamically segments and adjusts content based on user focus areas, job role and engagement levels, creating more relevant, role-specific visualizations. Additionally, the present invention offers interactivity during meetings in a way that users can request, modify, or view content in alternative formats.

The invention relates to a method and a system for generating accurate speech-to-text transcriptions in communication sessions. The invention uses a hybrid approach leveraging the strengths of both, machine learning models and traditional NLP techniques. Thus, the present invention allows for maintaining transcription quality and context awareness while keeping compute costs reasonable and enables easy updates to domain-specific vocabulary without solely relying on complex model capabilities.

Systems and methods for filtering voice information based on context and/or language are provided. A method can include identifying speaker voice streams and forming individual voice streams with associated identifiers, converting audio information of the individual voice streams to text information with associated identifier information, determining a context of at least portions of the text information, and filtering the voice streams based on the context and/or language within segments of the voice streams.