Research on Testing Methods for Intelligent In-Vehicle Audio System

Abstract

With the advancement of automotive intelligence, the acoustic environment within the cabin has become a critical dimension of user experience. This paper addresses the evaluation needs of intelligent cabin audio systems by proposing a comprehensive testing and assessment methodology based on user experience. Initially, the functional and performance metrics of in-vehicle intelligent audio systems are analyzed to define evaluation dimensions, including wake-up capability, interaction performance, distortion rate, sound quality, and active noise cancellation efficiency, with corresponding testing protocols designed accordingly. Subsequently, audio signals are collected under various cabin conditions (such as driver and passenger positions, urban and highway driving scenarios) to quantify system performance through both subjective and objective evaluation methods. Experimental results demonstrate that this approach effectively assesses the performance of intelligent audio systems across multiple metrics. By applying weighted calculations, an overall system score is derived, providing a foundation for optimizing the design of intelligent audio systems. This study bridges a gap in intelligent cabin audio testing and holds significant implications for enhancing in-vehicle acoustic quality and driving comfort.