Machine Learning (ML) Based Road Noise Cancelation (RNC) with User Position Tracking

Abstract

Various implementations include noise cancelation (NC) systems and related approaches for NC. Certain implementations include a system including: a vehicle audio system including at least one transducer for providing an audio output to an occupant in a vehicle; a position sensor for indicating a position of the occupant in the vehicle; a set of additional sensors including an accelerometer; and a machine learning (ML) based road noise cancelation (RNC) system connected with the vehicle audio system and the position sensor, the ML based RNC system configured to: receive inputs from the vehicle audio system, the position sensor, and the accelerometer; apply a set of parameters defining noise cancelation signals based on the inputs; and generate noise cancelation signals for output by the at least one transducer based on the applied set of parameters.

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