Bose had nine patents in artificial intelligence during Q4 2023. Bose Corp filed patents for a personal active noise reduction device with a computational architecture including multiple DSPs for processing audio streams and adjusting parameters based on source audio analysis. Another patent describes a method for a wearable audio output device to detect when a user wants to speak to someone nearby, reducing noise reduction levels to enable external sound perception. GlobalData’s report on Bose gives a 360-degreee view of the company including its patenting strategy. Buy the report here.

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Bose grant share with artificial intelligence as a theme is 66% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Computational architecture for active noise reduction device (Patent ID: US20230395057A1)

The patent filed by Bose Corp. describes a computational architecture for a personal active noise reduction (ANR) device that includes a communication interface, driver, microphone system, and ANR processing platform. The platform consists of a first DSP for ANR processing, a second DSP for generating state data and altering operational parameters, and a general-purpose processor for detecting malfunctions. The processors share signals over a common bus, with the first DSP operating at a lower latency than the second DSP.

The claims detail the components and functionalities of the ANR device, including the ability to alter operational parameters, detect malfunctions such as damage or improper fitting, and adjust ANR performance levels between earphones. The use of a machine learning model by the general-purpose processor to characterize malfunctions is also highlighted, along with the evaluation of state data and time-based signals for analysis. Overall, the patent focuses on a sophisticated computational architecture for personal ANR devices that can enhance user experience and device performance through real-time monitoring and adjustments.

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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.