Music engineers had previously considered autocorrelation impractical because of the massive computational effort required, but Hildebrand found a 'mathematical trick' to overcome this, 'a simplification changed a million multiply adds into just four'. Hildebrand's method for detecting pitch involved the use of autocorrelation and proved superior to earlier attempts based on feature extraction that had problems processing certain aspects of the human voice such as diphthongs, leading to sound artifacts. Over several months in early 1996, he implemented the algorithm on a custom Macintosh computer and presented the result at the NAMM Show later that year, where 'it was instantly a massive hit'. Hildebrand conceived the vocal pitch correction technology on the suggestion of a colleague's wife, who had joked that she could benefit from a device to help her sing in tune. research engineer who specialized in stochastic estimation theory and digital signal processing. Auto-Tune was developed by Andy Hildebrand, a Ph.D.

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