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Synesthesia Information Collection Method through Auditory Conversion of Visual Information

The human eardrum collects only sound waves as sensory information. If there is any loss or distortion in the sound wave information, it will not correctly receive the data. To overcome this limitation, we propose the ”method of collecting synesthetic information.” This method creates sound using data whose initial information is visual images. This visual image can be created by recording a vibrating object that is affected by sound waves. We probe the possibility of applying the inpainting technique using a deep convolution network to sound restoration. Our method shows a similarity of 80 between the original sound and the restored sound.