This episode explores the history and significance of Fourier analysis and the Fast Fourier Transform (FFT) in signal processing. It also discusses the challenges and techniques involved in music recognition using FFT and neural networks. Additionally, it mentions popular song recognition apps like Shazam and their underlying algorithms.
Table of contents
TranscriptIntroductionWaterloo [ 04:33 ]What’s the Frequency? [ 07:48 ]Digital Love [ 13:42 ]Fast Forward [ 17:27 ]Fourier Fun Facts [ 26:17 ]QCon London [ 28:45 ]Name That Tune [ 29:31 ]Listen to the Music [ 34:56 ]Pitch Perfect [ 40:46 ]Mr Roboto [ 47:14 ]Conclusion [ 51:27 ]About the Authors8 Impressions