Improving sound image localization and width is an important element for increasing the sense of presence in a car cabin. The construction of estimation model for sound image localization and width is required in order to evaluate objectively these effects. This study proposes a binaural model for estimating the sound image width in a car cabin audio listening environment. Based on a binaural model for the sound image azimuth estimation proposed in a previous study, a new feature quantity was

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... tracted and was expanded to a model capable of estimating the sound image width. The feature quantity was extracted from the attack region of the gammachirp auditory filter bank outputs. Physical measurements and psychological experiments in the car cabin were then carried out, and the proposed method was compared with the conventional methods. As a result, it was confirmed that the proposed method could obtain a higher estimated accuracy than the conventional methods in the car cabin audio listening environment.