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Tuesday October 8, 2024 2:00pm - 2:30pm EDT
Fourier theory is quite ubiquitous in modern audio signal processing. However, this framework is often at odds with our intuitions behind audio signals. Strictly speaking, Fourier theory is ideal to analyze periodic behaviors but when periodicities change across time it is easy to misinterpret its results. Of course, we have developed strategies around it like the Short Time Fourier Transform, yet again many times our interpretations of it falls beyond what the theory really says. This paper pushes the exact theoretical description showing examples where our interpretation of the data is incorrect. Furthermore, it shows specific instances where we incorrectly take decisions based on such paradoxical framework.
Moderators
avatar for Rob Maher

Rob Maher

Professor, Montana State University
Audio digital signal processing, audio forensics, music analysis and synthesis.
Speakers
avatar for Juan Sierra

Juan Sierra

NYU
Currently, I am a PhD Candidate in Music Technology at NYU and am currently based in NYUAD as part of the Global Fellowship program. As a professional musician, my expertise lies in Audio Engineering, and I hold a master's degree in Music, Science, and Technology from the prestigious... Read More →
Authors
avatar for Juan Sierra

Juan Sierra

NYU
Currently, I am a PhD Candidate in Music Technology at NYU and am currently based in NYUAD as part of the Global Fellowship program. As a professional musician, my expertise lies in Audio Engineering, and I hold a master's degree in Music, Science, and Technology from the prestigious... Read More →
Tuesday October 8, 2024 2:00pm - 2:30pm EDT
1E04

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