MUMBAI, India, June 30 -- Intellectual Property India has published a patent application (202641075535 A) filed by Vardhaman College Of Engineering on June 18, 2026, for Adaptive Noise Cancellation System Utilizing Multi-Channel Predictive Modeling.

Inventors include A. Vijaya Lakshmi; K. Narsimha Reddy; K. Sripal Reddy; K. Ashwini; Sunkaraboina Sreenu; and Ch. Sreenivasa Rao.

The application for the patent was published on June 26, 2026, under issue no. 26/2026.

Abstract: Adaptive Noise Cancellation System Utilizing Multi-Channel Predictive Modeling is the proposed invention. The proposed invention provides an adaptive noise cancellation system using multi-channel predictive modelling for intelligent real-time suppression of environmental acoustic interference. The proposed system utilises multiple acoustic sensing channels, transformer-based deep learning models, and adaptive filtering techniques to analyse the temporal and spatial characteristics of noise in dynamic operating environments. Multi-channel audio signals are processed in preprocessing and predictive modelling modules to identify and predict unwanted noise patterns to generate optimised anti-noise cancellation signals. Reinforcement learning mechanisms allow for dynamic adjustment of filtering parameters in response to varying environmental conditions to enhance suppression accuracy and speech intelligibility. Moreover, the system uses speech enhancement and signal reconstruction methods to maintain natural audio quality and reduce distortion. The invention enhances communication clarity, listening comfort and acoustic performance in applications such as hearing assistance devices, telecommunication systems, automotive audio platforms, industrial communication equipment and intelligent consumer electronics.

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