Cerence had seven patents in artificial intelligence during Q2 2024. Cerence Inc’s patents filed in Q2 2024 focus on innovative technologies for noise reduction and acoustic interference suppression in audio signals. The first patent describes a hybrid noise-reducer that utilizes dynamic neural networks and noise estimation modules to reduce noise across a desired range of frequencies. The second patent details methods for suppressing interfering sound sources in a multi-source sound signal sample, while the third patent outlines a machine learning system for noise suppression by processing sound signals according to different noise reduction profiles. GlobalData’s report on Cerence gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Cerence had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Noise reduction based on dynamic neural networks (Patent ID: US20240203439A1)
The patent filed by Cerence Inc. describes a hybrid noise-reducer system that generates an output audio signal by reducing noise in specific frequency ranges of an input audio signal. The system includes two noise-reduction paths - one using a dynamic neural network trained on a base frequency range and the other using a noise estimation module for the remainder frequency range. The second path modifies its noise filter based on the output of the first path, resulting in a third noise filter for noise reduction.
The apparatus detailed in the patent consists of multiple components such as multipliers, stacking circuitry, and transform circuits to process the input audio signal, split it into different frequency spectra, apply noise reduction methods, and combine the filtered spectra to generate an output audio signal with reduced noise. The system's unique feature is the collaboration between the two noise-reduction paths, where the second path adjusts its noise filter based on the first path's output, ensuring comprehensive noise reduction across the desired frequency ranges of the input audio signal.
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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.
