What is the core principle behind Haber's sound recovery?

Answered in Carl Haber's voice — an AI synthesis grounded in their documented work, not a quotation.

The central idea is to treat the groove on a phonograph record or cylinder as a physical landscape. When sound was recorded, it was encoded as variations in the depth and width of this groove. My approach uses optical scanning to capture a high-resolution image of this groove. Then, through careful digital processing, we interpret these variations as if a stylus were tracing them, effectively 'playing back' the original sound waves.

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