Brookfield has patented a computer-based system for analyzing audio files of news stories, comparing quality metrics, and distributing to subscribers. The method involves volume and pace thresholds, remediation, rejection, and human review based on predetermined criteria. GlobalData’s report on Brookfield gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Brookfield, was a key innovation area identified from patents. Brookfield's grant share as of April 2024 was 64%. Grant share is based on the ratio of number of grants to total number of patents.
Audio file quality and accuracy analysis system
A recently granted patent (Publication Number: US11971926B2) discloses a method performed by a computing system for evaluating audio files. The method involves determining if the average volume of an audio file falls below or exceeds certain thresholds, calculating the audio pace based on word count and duration, and making determinations regarding the quality of the audio file. If the audio file cannot be remediated by the system, a determination is made whether the file is flawed to the extent of requiring rejection. Various factors such as word match, word count, sentence count, duration, background noise, and peak volume are considered in the evaluation process.
Furthermore, the patent also describes a computing system and a non-transitory computer-readable memory storing instructions for performing the method. The system includes processors and memory that enable functions such as generating text files from audio, estimating word count based on duration, identifying background noise levels, and generating noise-reduced versions of audio files. The method aims to automate the evaluation process of audio files, determining their quality and suitability for further processing. By considering multiple factors and thresholds, the system can efficiently assess audio files and designate them for human review or rejection based on predefined criteria.
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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.
