Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01tt44pq97j
Full metadata record
DC Field | Value | Language |
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dc.contributor.advisor | Kernighan, Brian | - |
dc.contributor.author | Joseph, Jeanna | - |
dc.date.accessioned | 2021-08-17T18:00:30Z | - |
dc.date.available | 2021-08-17T18:00:30Z | - |
dc.date.created | 2021-04-28 | - |
dc.date.issued | 2021-08-17 | - |
dc.identifier.uri | http://arks.princeton.edu/ark:/88435/dsp01tt44pq97j | - |
dc.description.abstract | In this paper, I describe the process of building and evaluating Tune-Finder, a tool which provides a means of humming a tune in order to find other tunes (primarily folk and classical compositions) with similar melodic motifs. Here, the term motif is used interchangeably with the term contour to signify a sequence of characters which represent the melodic relationships between consecutive pitches in a tune. The tool is a NodeJS web application built using the Express framework and deployed using AWS Elastic Beanstalk. There are three primary components which comprise the interface: a visualizer which displays audio input, a search bar providing the ability to type input representing a motif, and a results page which displays the most similar tunes to the user’s query from a corpus. Furthermore, the tool allows users to select a tune from the results page and assess their accuracy when humming the chosen tune. These features together allow music-loving individuals to uncover some of the origins for popular contemporary motifs and perhaps find music that they may be interested in. Besides facilitating the discovery of music, Tune-Finder is designed to be an interactive tool that anyone can use as a means to test out and improve their sight reading, pitch matching, and humming abilities. | en_US |
dc.format.mimetype | application/pdf | |
dc.language.iso | en | en_US |
dc.title | Tune-Finder: An Application for Discovering Similar Melodic Motifs | en_US |
dc.type | Princeton University Senior Theses | |
pu.date.classyear | 2021 | en_US |
pu.department | Computer Science | en_US |
pu.pdf.coverpage | SeniorThesisCoverPage | |
pu.contributor.authorid | 920191687 | |
pu.mudd.walkin | No | en_US |
Appears in Collections: | Computer Science, 1987-2024 |
Files in This Item:
File | Description | Size | Format | |
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JOSEPH-JEANNA-THESIS.pdf | 1.83 MB | Adobe PDF | Request a copy |
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