Feb. 22, 2024, 3 p.m. | Anthony Alford, Roland Meertens

InfoQ - AI, ML & Data Engineering www.infoq.com

In this episode hosts explore the fascinating world of audio waves by discussing the history of Fourier analysis and how the Fast Fourier Transform (FFT) revolutionized signal processing with its efficiency. They then shift to song recognition apps like Shazam and their underlying algorithms: breaking songs into snippets and using techniques such as the FFT or neural networks.

By Anthony Alford, Roland Meertens

ai algorithms analysis apps artificial intelligence audio breaking efficiency explore fft fourier generally ai podcast history making ml & data engineering podcast processing recognition shazam shift signal song songs the infoq podcast world

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