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Title: Machine Learning Approach to Musical Key Detection
Authors: Crawford, Christopher
Advisors: Hazan, Elad
Department: Computer Science
Class Year: 2016
Abstract: Musical Key-detection is a sub-problem of the growing field of Music Information Retrieval. Key-detection and other technologies offered by MIR have increasing business and consumer applications given the rise of automated streaming music services that attempt to recommend music and generate playlists. This research offers several suggestions for the direction of improving key-detection and highlights specific extractable audio-features that improve detection.
Extent: 60 pages
Type of Material: Princeton University Senior Theses
Language: en_US
Appears in Collections:Computer Science, 1988-2017

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