This paper presents the design and implementation of 3D Auditory Scene Visualizer based on the visual information seeking mantra, "overview first, zoom and filter, then details on demand". The machine audition system called HARK captures 3D sounds with a microphone array. The natural language processing called SalienceGraph visualizes topic transition by using discourse salience. The 3D visualizer implemented in Java 3D displays topic transition and each sound stream as a beam originating from the microphones (overview mode), shows temporal snapshots with/without specifying focusing areas (zoom-andfilter mode), and shows detailed information about a particular sound stream (details-on-demand mode). This threemode visualization will give the user auditory awareness enhanced by HARK and SalienceGraph. In addition, a facetracking system automatically determines the user's intention by tracking the user's face. The resulting system will enable users to manage and browse auditory scene files effectively, so it should acceleration and support the information explosion to compensate the lack of auditory awareness.