Abstract

This project presents a novel method for extracting musical features via signal processing and wavelet analysis. Utilizing the human intuition of constructive sound wave interaction, we construct the classical techniques of signal processing in Fourier analysis. Building upon Fourier analysis, this project utilizes wavelet transforms to extract individual beats, and contextualizes them within larger rhythms for comparison and recommendation. Fundamental limitations of time- and frequency-localized information are explored in a signal processing context, with emphasis and interpretation on the human experience of music consumption.

Advisor

Pierce, Pamela

Department

Mathematics

Keywords

Signal Processing, Music Information Retrieval, Wavelet Analysis

Publication Date

2021

Degree Granted

Bachelor of Arts

Document Type

Senior Independent Study Thesis

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© Copyright 2021 Rephael Moshe Berkooz