Zoom Video Communications had 72 patents in artificial intelligence during Q2 2024. Zoom Video Communications Inc’s patents filed in Q2 2024 focus on improving transcription accuracy using metadata, personalized event recommendations based on user and event features, generating continuous audio streams during network connectivity issues, and notetaking within chat channels. These innovations aim to enhance user experience and communication efficiency during video conferences. GlobalData’s report on Zoom Video Communications gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Zoom Video Communications had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Using metadata for improved transcription search (Patent ID: US20240212676A1)
The patent filed by Zoom Video Communications Inc. describes systems and methods that utilize metadata to enhance the identification of desired information within transcriptions. This involves receiving audio data, recognizing terms within the audio, identifying alternate recognized terms corresponding to the recognized terms, generating a transcription based on the recognized terms, and creating metadata with links between the recognized terms and alternate recognized terms. Additionally, the systems and methods include receiving search queries within the transcription, searching for the string within the transcription and metadata, and providing search results based on the search.
Furthermore, the patent outlines a method that involves segmenting audio input, predicting recognized terms and alternate recognized terms for each segment, and storing alternate recognized terms with confidence values above a certain threshold. It also includes a feature where multiple alternate recognized terms corresponding to one recognized word can be provided, allowing users to select one and update the transcription accordingly. The patent also covers translating transcriptions from one language to another, generating translated metadata, and updating training models based on user selections. Overall, the patent focuses on improving the accuracy and efficiency of identifying information within transcriptions through the use of metadata and alternate recognized terms.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
