H.I.G. Capital has been granted a patent for a voice analysis system that enhances voice recognition accuracy. The system includes two terminals analyzing conversation information and selecting the correct conversation category based on related words. This innovation aims to improve voice analysis technology. GlobalData’s report on H.I.G. Capital gives a 360-degree view of the company including its patenting strategy. Buy the report here.

According to GlobalData’s company profile on H.I.G. Capital, was a key innovation area identified from patents. H.I.G. Capital's grant share as of February 2024 was 53%. Grant share is based on the ratio of number of grants to total number of patents.

Voice analysis system for accurate voice recognition

Source: United States Patent and Trademark Office (USPTO). Credit: H.I.G. Capital LLC

A voice analysis system has been granted a patent (Publication Number: US11929061B2) that comprises a first voice analysis terminal and a second voice analysis terminal. The first terminal includes various units such as term analysis, conversation storage, conversation analysis, presentation storage, related term storage, and display units. On the other hand, the second terminal includes term analysis and conversation storage units. The system allows for the analysis of conversation information, storage of related terms, and selection of presentation materials based on the conversation content.

Furthermore, the system includes features such as clock time storage, frequency analysis, related term extraction, and correction of incorrect conversion terms. The second voice analysis terminal also includes units for conversation analysis, presentation storage, related term storage, display, and conversation section selection. These units work together to analyze conversation sections, extract related terms, and select the correct conversation section based on the number of related terms. Overall, the patented voice analysis system offers a comprehensive solution for analyzing voice conversations, storing related terms, and selecting presentation materials based on the conversation content.

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