Music Education Commons^™

Defining Music Of A Questionable Past: A College Musician’S Approach, Noah Whetstone

Williams Honors College, Honors Research Projects

In recent years, social movements have raised awareness on issues like whitewashing and the oppression of minority voices in fields such as music. These social movements have drawn attention to the cultural appropriation that sometimes occurs in music classrooms. Outcomes from recent legislation proposals and social conflicts across the United States threaten to limit educational opportunities. Although many people have understood these pieces of legislation to affect topics such as history and English, it may also affect music education. When choosing music to teach their students, music educators are often challenged as many songs have questionable pasts and make references …

Culturally Responsive Teaching And Music Education, Katie Johnson

Williams Honors College, Honors Research Projects

The United States’ music culture is predominantly focused on the Western music tradition. Yet, the population in the United States is wildly diverse and continues to become even more so at a rapid rate. Because of this, culturally relevant teaching has become an increasingly discussed topic in music education. Why do some music educators feel out of place with music outside of the classical tradition? It can be traced backed to the Eurocentrism of music schools in the United States. Music schools focus primarily on the classical Western music realm, including topics such as music theory, socially accepted ensembles and …

Liquid Tab, Nathan Hulet

Williams Honors College, Honors Research Projects

Guitar transcription is a complex task requiring significant time, skill, and musical knowledge to achieve accurate results. Since most music is recorded and processed digitally, it would seem like many tools to digitally analyze and transcribe the audio would be available. However, the problem of automatic transcription presents many more difficulties than are initially evident. There are multiple ways to play a guitar, many diverse styles of playing, and every guitar sounds different. These problems become even more difficult considering the varying qualities of recordings and levels of background noise.

Machine learning has proven itself to be a flexible tool …