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arXiv · 2005.08944

Saving the Sonorine: Photovisual Audio Recovery Using Image Processing and Computer Vision Techniques

Kevin Feng
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Abstract

This paper presents a novel technique to recover audio from sonorines, an early 20th century form of analogue sound storage. Our method uses high resolution photographs of sonorines under different lighting conditions to observe the change in reflection behavior of the physical surface features and create a three-dimensional height map of the surface. Sound can then be extracted using height information within the surface's grooves, mimicking a physical stylus on a phonograph. Unlike traditional playback methods, our method has the advantage of being contactless: the medium will not incur damage and wear from being played repeatedly. We compare the results of our technique to a previously successful contactless method using flatbed scans of the sonorines, and conclude with future research that can be applied to this photovisual approach to audio recovery.

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Kevin Feng. 2020-05-16. Saving the Sonorine: Photovisual Audio Recovery Using Image Processing and Computer Vision Techniques. https://arxiv.org/abs/2005.08944

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