Abstract

The real time experience of what one sees and what one hears is enriching but if one can visualize what is audible will be fascinating. We suggest a simpler approach for sound localization that directly collects motion signals based on visual movements. In this study, frequency has been detected at various location of drum using computer vision method. A smartphone camera set up on a tripod next to the drum has captured these vibrations at approximately 240 frames per second. To determine the frequency, a Fourier analysis was performed on the data collected from the frames. We detected frequency of ~94 Hz at multiple spots by analyzing the motions of a point or region of interest (ROI) at membrane of drum. The frequency of drum membrane detected by a mobile microphone was found to be equivalent to the frequency observed using the proposed computer-vision method. Similar concepts can be employed in understanding the fundamentals of sounds generated by various musical instruments.

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