Deutsche Telekom had seven patents in big data during Q2 2024. The patents filed by Deutsche Telekom AG in Q2 2024 involve systems and methods for generating encoded text representations of spoken utterances, incorporating nonverbal characteristics like sentiment or speaking rate. Another patent focuses on a gateway connecting user devices to a telecommunication network within a home, collecting data on device inventory and usage patterns to determine user profiles and network actions. GlobalData’s report on Deutsche Telekom gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Deutsche Telekom had no grants in big data as a theme in Q2 2024.
Recent Patents
Application: Generating encoded text based on spoken utterances using machine learning systems and methods (Patent ID: US20240152684A1)
The patent filed by Deutsche Telekom AG describes systems and methods for generating encoded text representations of spoken utterances by analyzing audio data to identify nonverbal characteristics like sentiment, speaking rate, or volume. The encoded text representation includes a text transcription and a visual representation of the nonverbal characteristic, which can be a geometric element or a variation in text attributes. Machine learning is utilized for the analysis of audio data and generation of the encoded text representation.
The patent includes claims for a mobile device that can analyze audio data, generate encoded representations of spoken utterances, prompt for input based on nonverbal characteristics, and display the encoded representation. It also covers modifying the representation, incorporating it into messages or posts, and automatically inserting emojis based on the identified nonverbal characteristics. The method involves analyzing audio data, generating encoded representations, prompting for input on different nonverbal characteristics, and displaying the representation, with additional steps for modifying the representation, incorporating it into messages, and utilizing machine learning models for generating encoded representations.
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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.
