Wistron had 28 patents in artificial intelligence during Q1 2024. Wistron Corp filed patents in Q1 2024 for a processing method to improve voice identification accuracy, a method for recommending equipment replacement based on abnormal electricity consumption, a method for configuring a head-up display based on driver’s line of sight, a scheduling method for beamforming to improve communication quality, and an evaluation method for driving behavior analysis and location suggestions to improve training and work efficiency. GlobalData’s report on Wistron gives a 360-degree view of the company including its patenting strategy. Buy the report here.

Wistron grant share with artificial intelligence as a theme is 25% in Q1 2024. Grant share is based on the ratio of number of grants to total number of patents.

Recent Patents

Application: Processing apparatus and processing method of sound signal (Patent ID: US20240096342A1)

The patent filed by Wistron Corp. describes a processing apparatus and method for modifying a sound signal based on the type of respirator being used. By identifying the respirator type corresponding to the sound signal, the method aims to correct distortion and improve the accuracy of voice identification. The method involves receiving the sound signal, identifying the respirator type, and modifying the sound signal accordingly. This modification may include obtaining a compensation signal specific to the respirator type and superimposing it on the sound signal in the frequency domain.

Furthermore, the processing apparatus outlined in the patent includes a memory for storing a code and a processor for executing the method steps. The processor is responsible for receiving the sound signal, identifying the respirator type, and modifying the sound signal based on the identified respirator type. Additionally, the processor may obtain a compensation signal, superimpose it on the sound signal, and set it to zero in the absence of a respirator. The apparatus also allows for the generation of a compensation signal by comparing the original sound signal without a respirator to a training signal with a respirator. Overall, the patent focuses on enhancing voice processing by adapting the sound signal based on the type of respirator being used.

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