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The paper presents an audio-to-visual instrument that allows sound-to-image transformation based on an empirical investigation of the relationship between four auditory parameters – pitch, amplitude, timbre, and duration - and four visual parameters – color, location, shape, and size - in the multimedia context. Implementing the audio-to-visual instruments involves real-time sound analysis by using a constant-Q transform and image generation in a Max/MSP/Jitter environment.

An Artistic Technique for Audio-to-Video Translation on a Music Perception Study